CN116739743A - A method for carrying passengers in an unmanned vehicle and an unmanned vehicle - Google Patents

Abstract

The embodiment of the invention relates to the technical field of unmanned aerial vehicles, in particular to an unmanned vehicle passenger carrying method and an unmanned vehicle. Wherein the method comprises the following steps: generating passenger bill information of passengers after the unmanned vehicle passenger runs to the destination; sending the riding bill information to the blockchain to trigger the blockchain to execute an intelligent contract, so that after the blockchain commonly verifies the passenger bill information, riding fees are deducted from a digital wallet of the passenger; presenting the passenger with the passenger bill information returned by the blockchain; when the bill confirmation information sent by the passenger is obtained, the bill confirmation information is sent to the blockchain to trigger the blockchain to execute the intelligent contract, so that after the bill confirmation information is verified by the blockchain consensus, the bill confirmation information and the passenger bill information are packaged in the same block, and the block is input into the blockchain; the ride bill information is used to calculate a credit score for the passenger. The embodiment of the invention can standardize the riding behavior of passengers and is convenient for passenger carrying management of unmanned vehicles.

Description

A method for carrying passengers in an unmanned vehicle and an unmanned vehicle

Technical field

The present invention relates to the field of unmanned driving technology, and in particular to an unmanned vehicle passenger carrying method and an unmanned vehicle.

Background technique

With the development of driverless technology, driverless cars can be used in public transportation to bring convenience to people's travels. However, existing unmanned vehicles have limited supervision on carrying passengers and cannot deal with bad riding behaviors such as fare evasion, yelling, and vehicle damage.

Contents of the invention

Embodiments of the present invention aim to provide an unmanned vehicle passenger carrying method and an unmanned vehicle, which can standardize passengers' riding behavior and facilitate passenger carrying management of unmanned vehicles.

In order to solve the above technical problems, embodiments of the present invention provide the following technical solutions:

In the first aspect, embodiments of the present invention provide a blockchain-based method for carrying passengers in unmanned vehicles, including:

Get the passenger’s face image;

Send the face image to the blockchain so that the blockchain searches the passenger's block data based on the face image, and the block data carries the passenger's historical ride record ;

Calculate the passenger's credit score based on the passenger's historical ride record;

When the credit score is greater than or equal to the preset credit threshold, the unmanned vehicle is controlled to open the door.

In some embodiments, before acquiring the passenger's face image, the method further includes:

Obtain user point clouds on both sides of the lane where the unmanned vehicle is located;

Based on the deep learning model, extract the user posture from the user point cloud;

If the user's posture matches the preset taxi-calling posture, the unmanned vehicle is controlled to drive to the location of the passenger that matches the user's posture.

In some embodiments, the unmanned vehicle is equipped with a display screen, and controlling the unmanned vehicle to drive to a passenger position that matches the user's posture includes:

Determine whether the location of the passenger whose posture matches the preset taxi-hailing posture is in an illegal parking area;

If so, track the passenger and present first prompt information on the display screen. The first prompt information is used to prompt the passenger to go to the designated area to take the bus;

If not, control the unmanned vehicle to drive to the location of the passenger.

In some embodiments, before obtaining user point clouds on both sides of the lane where the unmanned vehicle is located, the method further includes:

Determine whether a passenger reservation request is received;

If so, control the unmanned vehicle to drive to the reservation location according to the passenger reservation request;

If not, proceed to the step of obtaining user point clouds on both sides of the lane where the unmanned vehicle is located.

In some embodiments, sending the face image to the blockchain so that the blockchain searches the passenger's block data based on the face image includes:

extract a feature matrix from the face image according to an image analysis algorithm;

Send the feature matrix to the blockchain, so that the blockchain searches for block data containing the feature matrix.

In some embodiments, the method further includes:

After driving the passenger to the destination, the passenger's ride bill information is generated. The ride bill information includes the passenger's feature matrix, departure place and departure time, destination and arrival time, driving time, Ride fare, evaluation information of behavior in the car, and unmanned vehicle SN number;

Send the passenger's ride bill information to the blockchain to trigger the blockchain to execute the smart contract, so that after the blockchain consensus verifies the passenger bill information, it will be deducted from the passenger's digital wallet The cost of said ride;

Present the ride bill information returned by the blockchain to the passenger;

After obtaining the bill confirmation information sent by the passenger, the bill confirmation information is sent to the blockchain to trigger the blockchain to execute the smart contract, so that the blockchain consensus verifies the bill confirmation information. Finally, the bill confirmation information and the passenger bill information are packaged in the same block, and the block is entered into the blockchain.

In some embodiments, the method further includes:

When the block entry information sent by the blockchain is obtained, the unmanned vehicle is controlled to open the door.

In some embodiments, calculating the passenger's credit score based on the passenger's historical ride records includes:

According to the semantic algorithm, each evaluation keyword is extracted from the evaluation information of the in-car performance behavior, where each evaluation keyword corresponds to a credit value;

The credit value of each evaluation keyword in the evaluation information is accumulated to obtain the credit score of the passenger.

In some embodiments, the method further includes:

When the detection information sent by the blockchain indicating that the passenger has not registered an autonomous taxi account is obtained, a second prompt message is generated. The second prompt information is used to prompt the passenger to register for an autonomous taxi. account;

When the registration confirmation information sent by the passenger is obtained, a digital wallet belonging to the passenger is established based on the characteristic matrix. The digital wallet includes an account address, a public key and a private key.

In a second aspect, embodiments of the present invention provide an unmanned vehicle, including:

at least one processor; and

a memory communicatively connected to the at least one processor;

Wherein, the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the method based on any one of the above. Blockchain’s method of carrying passengers in unmanned vehicles.

In a third aspect, embodiments of the present invention provide a blockchain-based unmanned vehicle passenger device, including:

The first acquisition module is used to acquire facial images of passengers;

A sending module, configured to send the face image to the blockchain, so that the blockchain searches for the passenger's block data based on the face image, and the block data carries the passenger's block data. historical ride records;

A calculation module used to calculate the credit score of the passenger based on the passenger's historical ride record;

The first control module is used to control the unmanned vehicle to open the door when the credit score is greater than or equal to the preset credit threshold.

In some embodiments, before acquiring the passenger's face image, the device further includes:

The second acquisition module is used to acquire user point clouds on both sides of the lane where the unmanned vehicle is located;

An extraction module, used to extract user gestures from the user point cloud based on a deep learning model;

The second control module is used to control the unmanned vehicle to drive to the location of the passenger that matches the user's posture if the user's posture matches the preset taxi-calling posture.

In some embodiments, the unmanned vehicle is equipped with a display screen, and the second control module includes:

A judgment unit configured to judge whether the position of the passenger whose posture matches the preset taxi-calling posture is in an illegal parking area;

A tracking display unit is configured to track the passenger if the position of the passenger matching the user's posture is in an illegal parking area, and present first prompt information on the display screen, where the first prompt information is used to prompt the Passengers go to the designated area to board the bus;

A control unit configured to control the unmanned vehicle to drive to the passenger's position if the position of the passenger matching the user's posture is not in an illegal parking area.

In some embodiments, before acquiring user point clouds on both sides of the lane where the unmanned vehicle is located, the device further includes:

A judgment module used to judge whether a passenger reservation request is received;

The third control module is used to, if a passenger reservation request is received, control the unmanned vehicle to drive to the reservation location according to the passenger reservation request;

If not, proceed to the step of obtaining user point clouds on both sides of the lane where the unmanned vehicle is located.

In some embodiments, the sending module includes:

A first extraction unit, configured to extract a feature matrix from the face image according to an image analysis algorithm;

A sending unit, configured to send the feature matrix to the blockchain, so that the blockchain can search for block data containing the feature matrix.

In some embodiments, the device further includes:

The first generation module is used to generate the passenger's ride bill information after driving the passenger to the destination. The ride bill information includes the passenger's feature matrix, departure place and departure time, and destination. And arrival time, driving time, ride cost, evaluation information of in-car behavior, and unmanned vehicle SN number;

The deduction module is used to send the passenger's ride bill information to the blockchain to trigger the blockchain to execute the smart contract, so that after the blockchain consensus verifies the passenger bill information, it will deduct the passenger bill information from the blockchain. The passenger’s digital wallet debits the said ride fee;

A presentation module, configured to present the ride bill information returned by the blockchain to the passenger;

The input module is used to, after obtaining the bill confirmation information sent by the passenger, send the bill confirmation information to the blockchain to trigger the execution of the smart contract on the blockchain so that the blockchain consensus verification After the bill confirmation information is received, the bill confirmation information and the passenger bill information are packaged in the same block, and the block is entered into the blockchain.

In some embodiments, the device further includes:

The fourth control module is used to control the unmanned vehicle to open the door when the block entry information sent by the blockchain is obtained.

In some embodiments, the computing module includes:

The second extraction unit is configured to extract each evaluation keyword from the evaluation information of the in-car performance behavior based on a semantic algorithm, where each evaluation keyword corresponds to a credit value;

An accumulation unit is used to accumulate the credit value of each evaluation keyword in the evaluation information to obtain a second extraction unit of the passenger's credit for scoring.

In some embodiments, the device further includes:

The second generation module is configured to generate second prompt information when the detection information sent by the blockchain indicating that the passenger has not registered an unmanned taxi account is obtained, and the second prompt information is used to prompt the passenger to The above passengers need to register an unmanned taxi account;

An establishment module, configured to establish a digital wallet belonging to the passenger according to the characteristic matrix when the registration confirmation information sent by the passenger is obtained. The digital wallet includes an account address, a public key and a private key.

In a fourth aspect, embodiments of the present invention provide a non-volatile computer-readable storage medium that stores computer-executable instructions, and the computer-executable instructions are used to enable an unmanned vehicle to execute Blockchain-based unmanned vehicle passenger carrying method as described in any of the above items.

In a fifth aspect, embodiments of the present invention also provide a computer program product. The computer program product includes a computer program stored on a non-volatile computer-readable storage medium. The computer program includes program instructions. When the When the program instructions are executed by the computer, the unmanned vehicle will execute the blockchain-based unmanned vehicle passenger carrying method as described in any of the above items.

The beneficial effects of the embodiments of the present invention are: different from the existing technology, the embodiments of the present invention provide a blockchain-based unmanned vehicle passenger carrying method and the unmanned vehicle, by acquiring the passenger's face image, sending The face image is transferred to the blockchain so that the blockchain can search the passenger's block data based on the face image. The block data carries the passenger's historical ride record and calculates the passenger's credit score based on the passenger's historical ride record. When the credit score is greater than or equal to the preset credit threshold, the unmanned vehicle is controlled to open the door. Therefore, the embodiment of the present invention can regulate the passenger's riding behavior and facilitate the passenger management of the unmanned vehicle.

Description of drawings

One or more embodiments are exemplified by the pictures in the corresponding drawings. These illustrative illustrations do not constitute limitations to the embodiments. Elements with the same reference numerals in the drawings are represented as similar elements. Unless otherwise stated, the figures in the drawings are not intended to be limited to scale.

Figure 1 is a schematic diagram of an architectural model of a blockchain network provided by an embodiment of the present invention;

Figure 2 is a schematic structural diagram of a blockchain system provided by an embodiment of the present invention;

Figure 3 is a method flow chart of one of the blockchain-based unmanned vehicle passenger carrying methods provided by the embodiment of the present invention;

Figure 4 is a method flow chart of step S32 in Figure 3;

Figure 5 is a method flow chart of step S33 in Figure 3;

Figure 6 is a method flow chart of one of the blockchain-based unmanned vehicle passenger carrying methods provided by the embodiment of the present invention;

Figure 7 is a flow chart of one of the methods in step S43 in Figure 6;

Figure 8 is a method flow chart of one of the blockchain-based unmanned vehicle passenger carrying methods provided by the embodiment of the present invention;

Figure 9 is a method flow chart of one of the blockchain-based unmanned vehicle passenger carrying methods provided by the embodiment of the present invention based on Figures 3-8;

Figure 10 is a method flow chart of one of the blockchain-based unmanned vehicle passenger carrying methods based on Figure 9 provided by the embodiment of the present invention;

Figure 11 is a method flow chart of one of the blockchain-based unmanned vehicle passenger carrying methods provided by the embodiment of the present invention based on Figures 3-8;

Figure 12 is a schematic structural diagram of one of the blockchain-based unmanned vehicle passenger devices provided by the embodiment of the present invention;

Figure 13 is a schematic structural diagram of one of the blockchain-based unmanned vehicle passenger devices provided by the embodiment of the present invention;

Figure 14 is a schematic structural diagram of an unmanned vehicle provided by an embodiment of the present invention;

Figure 15 is a method flow chart of one of the blockchain-based unmanned vehicle passenger carrying methods provided by the embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments These are some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

It should be noted that although the functional modules are divided in the device schematic diagram and the logical sequence is shown in the flow chart, in some cases, the modules can be divided into different modules in the device or the order in the flow chart can be executed. The steps shown or described. In addition, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.

In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

Please refer to Figure 1. Figure 1 is a schematic diagram of an architectural model of a blockchain network provided by an embodiment of the present invention. As shown in Figure 1, the blockchain network 100 includes a data layer 11, a network layer 12, a consensus layer 13 and a smart contract layer 14.

Data layer 11 encapsulates the underlying data blocks and related basic data and basic algorithms such as data encryption and timestamps. Network layer 12 includes distributed networking mechanism, data dissemination mechanism, data verification mechanism, etc. Consensus layer 13 encapsulates various consensus algorithms of network nodes. Smart contract layer 14 encapsulates various scripts, algorithms and smart contracts.

The blockchain-based method for carrying passengers in an unmanned vehicle according to the embodiment of the present invention can be executed in an unmanned vehicle that is communicatively connected to any suitable type of blockchain node with computing capabilities. The blockchain node includes a server, a desktop computer, Smartphones, tablets and other electronic products, etc. The server here may be a physical server or a logical server virtualized by multiple physical servers. The server can also be a server group composed of multiple servers that can communicate with each other, and each functional module can be distributed on each server in the server group.

Blockchains provided by embodiments of the present invention include, for example, public block chains (Public Block Chains), consortium block chain (Consortium Block Chains) and private block chain (Private Block Chains).

Please refer to Figure 2, which is a schematic structural diagram of a blockchain system provided by an embodiment of the present invention. As shown in FIG. 2 , the blockchain system 200 includes an unmanned vehicle 10 , a client 20 , an ordinary node 21 , an agent node 22 and a consensus node 23 .

The unmanned vehicle 10 is communicatively connected with the ordinary node 21, the client 20 is communicatively connected with the ordinary node 21, the ordinary node 21 is communicatively connected with the agent node 22, and the agent node 22 is also communicatively connected with the consensus node 23. Among them, the communication between various blockchain nodes supports point-to-point communication (P2P).

The unmanned vehicle 10 is used to obtain the face image of the passenger and send the face image to the ordinary node 21 so that the blockchain to which the ordinary node 21 belongs searches the passenger's area based on the face image. Block data, the block data carries the passenger's historical ride record, and calculates the passenger's credit score based on the passenger's historical ride record. When the credit score is greater than or equal to the preset credit threshold When, the unmanned vehicle 10 is controlled to open the door.

The client 20 is used to send a passenger reservation request. The client 20 is configured with various electrical components, such as controllers, camera components, audio components, etc. The unmanned vehicle 10 is also used to determine whether it has received a passenger reservation request. If so, control the unmanned vehicle 10 to drive to the reservation location according to the passenger reservation request; if not, obtain the lane where the unmanned vehicle 10 is located. User point clouds on both sides.

Ordinary nodes 21 hold circulating electronic currencies and have the right to vote in the blockchain system 200 . Ordinary nodes 21 can perform related transaction operations, but do not have the right to package and record blocks, and can only record block data synchronously from relevant nodes with rights to package and record.

In some embodiments, the ordinary node 21 can also complete the verification of the passenger's ride bill information.

The agent node 22 is written with smart contract code. The ordinary node 21 sends the original data of the block to the agent node 22, triggering the smart contract of the agent node 22, so that the intelligent contract of the agent node executes the original block data. Among them, the ordinary node 21 maintains a smart contract list, and the smart contract list records 1 a list of each agent node that can execute the smart contract. Whenever the ordinary node 21 receives the original data of the block, the ordinary node 21 calls the smart contract list, finds the address of each agent node from the smart contract list, and sends the original block data to each agent node.

In this embodiment, the agent node 22 can pre-store multiple types of smart contracts, and it can parse the execution type of the smart contract based on the trigger request sent by the ordinary node 21 . The agent node 22 then executes the corresponding smart contract according to the parsed execution type of the smart contract.

When an agent node fails, the other agent nodes broadcast the address of the agent node to the entire network. The ordinary node 21 monitors the broadcast information, updates the smart contract list, and subsequently sends the original data of the block. 21 does not send data to the certain agent node 22 to improve work efficiency.

The code of the smart contract is written based on the business scenario logic. For example, in the application scenario of unmanned vehicles carrying passengers, the smart contract can be used to verify the passenger's ride bill information.

After the agent node 22 executes the original block data according to the smart contract, it outputs the block data to be verified. Next, the agent node 22 also signs the block data to be verified, and packages the signed block data and sends it to the consensus node 23 . The consensus node 23 uses the public key of the proxy node 22 to verify the signed block data. If the verification is successful, it is considered that the signed block data is sent by the legitimate proxy node 22, and then consensus processing is performed on the block data. If the verification is unsuccessful, the signed block data is considered to be sent by the illegal proxy node 22. For example, the proxy node 22 uses its own private key to perform a signature operation on the hash content of the current block to obtain the signature.

The consensus node 23 is used for consensus verification of the block data uploaded by the proxy node 22. Among them, the consensus node 23 can support any of the following consensus algorithms: Proof of Work (PoW), Proof of Stake (POS), Delegate proof of Stake (DPoS), Practical Byzantine Fault Tolerance (practicalByzantine Fault Tolerance, PBFT), authorized Byzantine Fault Tolerance (Delegated Byzantine Fault Tolerance, DBFT) and so on.

Each consensus node 23 needs to be registered with the agent node 22. After the registration is successful, the consensus node will be a legal consensus node. The registration process is as follows:

1. The consensus node 23 submits the registration information to the agent node 22.

The registration information includes one or more of the following information: the device serial number SN of the consensus node 23, user information, and miner wallet address.

2. The agent node 22 checks the registration information.

The checking process includes: checking whether the SN number format is correct, whether the SN exists in the database, whether the SN has been bound to other users, etc.

3. The agent node 22 records registration information.

4. The agent node 22 returns the registration result to the consensus node 23.

5. The agent node 22 broadcasts the new registration data to the blockchain system 200 .

In the above-mentioned blockchain system 200, blocks are carriers used to store historical ride records of passengers. Each block includes a block header and a block body. The information recorded in the block header is used to identify the block itself, the previous A summary of the information about a block and its location in the entire ledger. The block body is used to store passengers’ historical ride records, verify transaction information, and save transactions from being tampered with.

The blockchain forms a chained data storage structure by connecting each block one by one in the order of generation time. In the entire blockchain, the first block is called the genesis block, and its block height is 0. The block height of each subsequent block is increased by 1, and the previous area is written in the block header. The hash value of the block header. Each block on the blockchain is linked by the hash value of the previous block header on each block.

Therefore, blockchain is immutable. Based on this, embodiments of the present invention provide a blockchain-based method for carrying passengers in an unmanned vehicle. The blockchain-based method for carrying passengers in an unmanned vehicle is applied to unmanned vehicles.

Please refer to Figure 3, which is a method flow chart of one of the blockchain-based unmanned vehicle passenger carrying methods provided by an embodiment of the present invention. As shown in Figure 3, the blockchain-based unmanned vehicle passenger carrying method S300 includes:

S31. Obtain the passenger's face image.

It can be understood that the unmanned vehicle is equipped with several cameras, and the several cameras are used to collect face images of passengers on both sides of the road on which the unmanned vehicle travels.

S32. Send the face image to the blockchain, so that the blockchain searches for the passenger's block data based on the face image. The block data carries the passenger's historical times. Car records.

In some embodiments, please refer to FIG. 4 , which is a method flow chart of step S32 in FIG. 3 . Based on the method shown in Figure 3, sending the face image to the blockchain so that the blockchain searches the passenger's block data based on the face image includes:

S321. Extract a feature matrix from the face image according to the image analysis algorithm;

S322. Send the feature matrix to the blockchain, so that the blockchain searches for block data containing the feature matrix.

Wherein, the blockchain searches out that the block data containing the feature matrix are all historical ride records generated by the same passenger and stored in the blockchain. S33. Calculate the credit score of the passenger based on the passenger's historical riding record.

In some embodiments, please refer to FIG. 5 , which is a method flow chart of step S33 in FIG. 3 . Based on the method shown in Figure 3, calculating the credit score of the passenger based on the passenger's historical riding record includes:

S331. According to the semantic algorithm, extract each evaluation keyword from the evaluation information of the in-car performance behavior, where each evaluation keyword corresponds to a credit value.

S332: Accumulate the credit value of each evaluation keyword in the evaluation information to obtain the credit score of the passenger.

Wherein, the evaluation keywords are pre-stored in the unmanned vehicle, and the evaluation keywords are used to evaluate a certain type of riding behavior of the passenger. For example, taking the riding behavior including fare evasion behavior as an example, accordingly, The evaluation keywords include never evading fares, rarely evading fares, often evading fares, etc. S34. When the credit score is greater than or equal to the preset credit threshold, control the unmanned vehicle to open the door.

It can be understood that each evaluation keyword corresponds to a credit value. The credit value of each evaluation keyword in the evaluation information is accumulated to obtain the credit score of the passenger. The credit score can comprehensively evaluate the passenger's credit score. The riding behavior, based on the credit score, controls the door of the unmanned vehicle to determine whether the passenger is qualified to ride. Therefore, through an open and strict method, the riding behavior of passengers is regulated to a certain extent, which facilitates the passenger management of unmanned vehicles.

In some embodiments, please refer to FIG. 6 , which is a method flow chart of one of the blockchain-based unmanned vehicle passenger carrying methods provided by an embodiment of the present invention. Based on the method shown in Figure 3, before acquiring the face image of the passenger, the blockchain-based unmanned vehicle passenger carrying method S400 also includes:

S41. Obtain user point clouds on both sides of the lane where the unmanned vehicle is located.

S42. Based on the deep learning model, extract the user posture from the user point cloud.

S43. If the user's posture matches the preset taxi-calling posture, control the unmanned vehicle to drive to the location of the passenger that matches the user's posture.

It can be seen that the embodiment of the present invention can accurately identify the passengers who need to call a car by matching the user posture with the preset car-hailing posture, avoiding the problem of unmanned vehicles confusing pedestrians and passengers, and improving the reliability of unmanned vehicles carrying passengers. sex.

In some embodiments, the unmanned vehicle is equipped with a display screen. Please refer to Figure 7, which shows a method flow chart of step S43 in Figure 6. Based on the method shown in Figure 6, the unmanned vehicle is controlled to drive to the location of the passenger that matches the user posture. include:

S431. Determine whether the location of the passenger whose posture matches the preset taxi-calling posture is in an illegal parking area.

S432. If yes, track the passenger and present the first prompt information on the display screen. The first prompt information is used to prompt the passenger to go to the designated area to take the bus.

S433. If not, control the unmanned vehicle to drive to the location of the passenger.

In some cases, although the user posture of the passenger matches the preset taxi-hailing posture, the passenger's location is in an illegal parking area, resulting in the unmanned vehicle being unable to travel to the location to pick up the vehicle. passenger. The space in the illegal parking area is limited, such as a bus station, etc., the unmanned vehicle displays a first prompt message on its display screen, prompting the passenger to go to the designated area to take the bus, and the passenger moves outside the illegal parking area, and at the same time, The unmanned vehicle tracks the passenger and drives to the passenger's location, thereby avoiding the problem of the unmanned vehicle being unable to carry passengers in illegally parked areas and improving the flexibility of the unmanned vehicle in carrying passengers. In some embodiments, please refer to Figure 8, which is a method flow chart of one of the blockchain-based unmanned vehicle passenger carrying methods provided by the embodiment of the present invention. After obtaining the user point clouds on both sides of the lane where the unmanned vehicle is located, Previously, the blockchain-based unmanned vehicle passenger method S500 also included:

S51. Determine whether a passenger reservation request is received.

S52. If yes, control the unmanned vehicle to drive to the reservation location according to the passenger reservation request.

S53. If not, enter the step of obtaining user point clouds on both sides of the lane where the unmanned vehicle is located.

In this embodiment, the unmanned vehicle at least controls the unmanned vehicle to drive to the reservation location based on a passenger reservation request sent by the terminal device, or based on determining whether the users on both sides of the lane where the unmanned vehicle is located are willing passengers. to carry passengers. Among the above two methods, since the judgment method based on the passenger reservation request sent by the terminal device is more direct and reliable, and the processing overhead is smaller, therefore, the priority of the passenger reservation request sent by the terminal device is higher than that based on the judgment method. Whether the users on both sides of the lane where the autonomous vehicle is located are willing passengers.

In some embodiments, please refer to FIG. 9 and FIG. 15 , which is a method flow chart of one of the blockchain-based unmanned vehicle passenger carrying methods provided by the embodiment of the present invention based on FIGS. 3 to 8 . As shown in Figure 9, the blockchain-based unmanned vehicle passenger carrying method S600 also includes:

S61. After driving the passenger to the destination, generate the passenger's ride bill information. The ride bill information includes the passenger's feature matrix, departure place and departure time, destination and arrival time, travel time Time, ride cost, evaluation information of behavior in the car, and unmanned vehicle SN number.

S62. Send the passenger's ride bill information to the blockchain to trigger the blockchain to execute the smart contract, so that after the blockchain consensus verifies the passenger bill information, the passenger's digital The wallet deducts the cost of said ride.

S63. Present the ride bill information returned by the blockchain to the passenger.

S64. After obtaining the bill confirmation information sent by the passenger, send the bill confirmation information to the blockchain to trigger the blockchain to execute the smart contract so that the blockchain consensus verifies the bill. After confirming the information, the bill confirmation information and the passenger bill information are packaged in the same block, and the block is entered into the blockchain.

It can be understood that this embodiment completes the collection of the passenger's historical ride record, and the ride bill information constitutes the passenger's historical ride record. Based on all ride bill information of the passenger, the passenger's credit score can be calculated, and the credit score can be used to evaluate the user's ride behavior. In some embodiments, based on the ride bill information, the passenger's preferred route, workplace, etc. can also be intelligently inferred. In some embodiments, please refer to FIG. 10 , which is a method flow chart of one of the blockchain-based unmanned vehicle passenger carrying methods provided in FIG. 9 according to an embodiment of the present invention. Please refer to Figure 10. The blockchain-based unmanned vehicle passenger carrying method S700 also includes:

S71. When the block entry information sent by the blockchain is obtained, control the unmanned vehicle to open the door.

The above step is the step of getting the passenger off. When the passenger completes the scheduled itinerary, completes the order payment and updates his historical riding record, the unmanned vehicle is controlled to open the door so that the passenger gets off, ending the unmanned vehicle. The vehicle carries passengers this time.

In some embodiments, please refer to Figure 11, which is a method flow chart based on Figures 3 to 8 provided by an embodiment of the present invention, which is one of my methods for carrying passengers in an unmanned vehicle based on blockchain. As shown in Figure 11, the blockchain-based unmanned vehicle passenger carrying method S800 also includes:

S81. When the detection information sent by the blockchain indicating that the passenger has not registered an unmanned taxi account is obtained, the second prompt information is generated. The second prompt information is used to prompt the passenger to register an unmanned taxi account. Taxi account.

S82. When the registration confirmation information sent by the passenger is obtained, establish a digital wallet belonging to the passenger according to the characteristic matrix. The digital wallet includes an account address, a public key and a private key.

Among them, the private key is used as the payment voucher of the digital wallet. After the passenger inputs the private key, a public key is generated based on the encryption algorithm so that the blockchain can verify the authenticity of the payment. After the verification is successful, the digital wallet automatically deducts the corresponding Payment, wherein the public key carries the account address information and private key information of the digital wallet.

An embodiment of the present invention provides a method for carrying passengers in an unmanned vehicle based on blockchain, by obtaining the face image of the passenger and sending the face image to the blockchain, so that the blockchain can search the passenger's area based on the face image. Block data. The block data carries the passenger's historical ride record. Based on the passenger's historical ride record, the passenger's credit score is calculated. When the credit score is greater than or equal to the preset credit threshold, the unmanned vehicle is controlled to open the door. Therefore, this The embodiments of the invention can standardize the riding behavior of passengers and facilitate passenger management of unmanned vehicles.

Please refer to FIG. 12 , which is a schematic structural diagram of one of the blockchain-based unmanned vehicle passenger-carrying devices provided by an embodiment of the present invention. As shown in Figure 12, the blockchain-based unmanned vehicle passenger device 300 includes a first acquisition module 301, a sending module 302, a calculation module 303 and a first control module 304.

The first acquisition module 301 is used to acquire facial images of passengers.

The sending module 302 is used to send the face image to the blockchain, so that the blockchain searches for the block data of the passenger based on the face image, and the block data carries the Describe the passenger’s historical travel records.

In some embodiments, referring to Figure 13, the sending module 302 includes a first extraction unit 3021 and a sending unit 3022.

The first extraction unit 3021 is configured to extract a feature matrix from the face image according to an image analysis algorithm.

The sending unit 3022 is configured to send the feature matrix to the blockchain, so that the blockchain can search for block data containing the feature matrix.

The calculation module 303 is used to calculate the credit score of the passenger based on the passenger's historical ride record.

In some embodiments, please refer to FIG. 13 , the calculation module 303 includes a second extraction unit 3031 and an accumulation unit 3032.

The second extraction unit 3031 is configured to extract each evaluation keyword from the evaluation information of the in-car performance behavior according to a semantic algorithm, where each evaluation keyword corresponds to a credit value.

The accumulation unit 3032 is used to accumulate the credit value of each evaluation keyword in the evaluation information to obtain a second extraction unit of the passenger's credit for scoring.

The first control module 304 is used to control the unmanned vehicle to open the door when the credit score is greater than or equal to a preset credit threshold.

Please refer to FIG. 13 again, which is a schematic structural diagram of one of the blockchain-based unmanned vehicle passenger devices provided by an embodiment of the present invention. Based on the blockchain-based unmanned vehicle passenger device 300 illustrated in Figure 12, the blockchain-based unmanned vehicle passenger device 400 also includes a second acquisition module 401, an extraction module 402, a second control module 403, a judgment Module 404, third control module 405, first generation module 406, deduction module 407, presentation module 408, entry module 409, fourth control module 410, second generation module 411 and establishment module 412.

In some embodiments, before acquiring the passenger's face image, the device 400 further includes:

The second acquisition module 401 is used to acquire user point clouds on both sides of the lane where the unmanned vehicle is located.

The extraction module 402 is used to extract user gestures from the user point cloud based on a deep learning model.

The second control module 403 is used to control the unmanned vehicle to drive to the location of the passenger that matches the user's posture if the user's posture matches the preset taxi-calling posture.

In some embodiments, the unmanned vehicle is equipped with a display screen, and the second control module 403 includes a judgment unit 4031, a tracking display unit 4032, and a control unit 4033.

The determination unit 4031 is used to determine whether the location of the passenger whose posture matches the preset taxi-calling posture is in an illegal parking area.

The tracking display unit 4032 is used to track the passenger if the position of the passenger matching the user posture is in an illegal parking area, and present first prompt information on the display screen, and the first prompt information is used to prompt Said passengers go to the designated area to board the bus.

The control unit 4033 is configured to control the unmanned vehicle to drive to the passenger's position if the passenger's position matching the user's posture is not in an illegal parking area.

In some embodiments, before acquiring user point clouds on both sides of the lane where the unmanned vehicle is located, the device 400 further includes a judgment module 404 and a third control module 405.

The determination module 404 is used to determine whether a passenger reservation request is received.

The third control module 405 is used to, if a passenger reservation request is received, control the unmanned vehicle to drive to the reservation location according to the passenger reservation request; if not, obtain the information on both sides of the lane where the unmanned vehicle is located. Steps for user point cloud.

In some embodiments, the device 400 further includes a first generation module 406, a deduction module 407, a presentation module 408 and an entry module 409.

The first generation module 406 is used to generate the passenger's ride bill information after driving the passenger to the destination. The ride bill information includes the passenger's feature matrix, departure place and departure time, Destination and arrival time, driving time, ride cost, evaluation information of in-car behavior, and unmanned vehicle SN number.

The deduction module 407 is used to send the passenger's ride bill information to the blockchain to trigger the blockchain to execute a smart contract, so that after the blockchain consensus verifies the passenger bill information, from The ride fee is deducted from the passenger's digital wallet.

The presentation module 408 is used to present the ride bill information returned by the blockchain to the passenger.

The entry module 409 is configured to, after obtaining the bill confirmation information sent by the passenger, send the bill confirmation information to the blockchain to trigger the blockchain to execute the smart contract, so that the blockchain After the consensus verifies the bill confirmation information, the bill confirmation information and the passenger bill information are packaged in the same block, and the block is entered into the blockchain.

In some embodiments, the device 400 further includes a fourth control module 410.

The fourth control module 410 is used to control the unmanned vehicle to open the door when the block entry information sent by the blockchain is obtained.

In some embodiments, the device 400 further includes a second generating module 411 and a establishing module 412.

The second generation module 411 is configured to generate second prompt information when the detection information sent by the blockchain indicating that the passenger has not registered an unmanned taxi account is obtained, and the second prompt information is used to The passengers are reminded that they need to register an unmanned taxi account.

The establishment module 412 is configured to, when obtaining the registration confirmation information sent by the passenger, establish a digital wallet belonging to the passenger according to the feature matrix. The digital wallet includes an account address, a public key and a private key.

An embodiment of the present invention provides a blockchain-based unmanned vehicle passenger device. The passenger's face image is acquired through the first acquisition module, and the sending module sends the face image to the blockchain, so that the blockchain can be based on the face image. Image, search the passenger's block data, the block data carries the passenger's historical ride record, the calculation module calculates the passenger's credit score based on the passenger's historical ride record, the first control module when the credit score is greater than or equal to the preset credit threshold , the unmanned vehicle is controlled to open the door. Therefore, the embodiment of the present invention can regulate the passenger's riding behavior and facilitate the passenger management of the unmanned vehicle.

Please refer to Figure 14, which is a schematic structural diagram of an unmanned vehicle provided by an embodiment of the present invention. As shown in Figure 14, it shows the hardware structure of an unmanned vehicle capable of executing the blockchain-based unmanned vehicle passenger carrying method in Figures 3 to 11. The unmanned vehicle 10 can be the one shown in Figure 2 Autonomous vehicle shown 10.

The unmanned vehicle 10 includes: at least one processor 101; and a memory 102 communicatively connected to the at least one processor 101. In FIG. 14, one processor 101 is taken as an example. The memory 102 stores instructions that can be executed by the at least one processor 101, and the instructions are executed by the at least one processor 101, so that the at least one processor 101 can perform the above-mentioned steps of FIGS. 3 to 11. The above-mentioned blockchain-based unmanned vehicle passenger carrying method.

The processor 101 and the memory 102 may be connected through a bus or other means. In FIG. 10 , the connection through a bus is taken as an example.

As a non-volatile computer-readable storage medium, the memory 102 can be used to store non-volatile software programs, non-volatile computer executable programs and modules, such as the blockchain-based unmanned vehicle in the embodiment of the present invention. The program instructions/modules corresponding to the guest methods are, for example, the modules shown in Figure 12 and Figure 13. The processor 101 executes various functional applications and data processing of the server by running non-volatile software programs, instructions and modules stored in the memory 102, that is, realizing the blockchain-based unmanned aerial vehicle described in the above method embodiment. Car passenger method.

The memory 102 may include a storage program area and a storage data area, wherein the storage program area may store an operating system and an application program required for at least one function; the storage data area may store data generated according to the use of the blockchain-based unmanned vehicle passenger device. Created data, etc. In addition, the memory 102 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 102 may optionally include memories remotely located relative to the processor 101, and these remote memories may be connected to a device for controlling autonomous vehicle driving through a network. Examples of the above-mentioned networks include but are not limited to the Internet, intranets, local area networks, mobile communication networks and combinations thereof.

The one or more modules are stored in the memory 102, and when executed by the one or more processors 101, execute the blockchain-based unmanned vehicle passenger carrying method in any of the above method embodiments, for example, Execute the above-described method steps of Figures 3 to 11 to realize the functions of each module and unit in Figures 12 to 13.

The above-mentioned products can execute the methods provided by the embodiments of the present invention, and have corresponding functional modules and beneficial effects for executing the methods. For technical details that are not described in detail in this embodiment, please refer to the method provided by the embodiment of the present invention.

Embodiments of the present invention also provide a non-volatile computer-readable storage medium, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are executed by one or more processors, for example, execute The above-described method steps in Figures 3 to 11 implement the functions of each module in Figures 12 to 13.

Embodiments of the present invention also provide a computer program product, which includes a computing program stored on a non-volatile computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the The driver and vehicle execute the blockchain-based unmanned vehicle passenger carrying method in any of the above method embodiments, for example, execute the method steps of Figures 3 to 11 described above to realize the functions of each module in Figures 12 to 13.

It should be noted that the device embodiments described above are only illustrative. The units described as separate components may or may not be physically separated. The components shown as units may or may not be physically separate. The unit can be located in one place, or it can be distributed across multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

Through the above description of the embodiments, those of ordinary skill in the art can clearly understand that each embodiment can be implemented by means of software plus a general hardware platform, and of course, it can also be implemented by hardware. Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a computer-readable storage medium, and the program can be stored in a computer-readable storage medium. When executed, the process may include the processes of the above method embodiments. Wherein, the storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (Random Access Memory, RAM), etc.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention, but not to limit it; under the idea of the present invention, the technical features of the above embodiments or different embodiments can also be combined. The steps may be performed in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity; although the invention has been described in detail with reference to the foregoing embodiments, one of ordinary skill in the art Skilled persons should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent substitutions for some of the technical features; and these modifications or substitutions do not deviate from the essence of the corresponding technical solutions from the implementation of the present invention. Example scope of technical solutions.

Claims (10)

1. An unmanned vehicular guest method, the method being based on blockchain technology, the method comprising:

acquiring a face image of a passenger, and extracting a feature matrix of the passenger from the face image according to an image analysis algorithm;

after the unmanned vehicle passenger runs to a destination, generating passenger bill information of the passenger, wherein the passenger bill information comprises characteristic matrixes of the passenger, passenger fees and evaluation information of in-vehicle behavior;

sending the riding billing information to a blockchain to trigger the blockchain to execute an intelligent contract, so that after the blockchain consensus verifies the passenger billing information, the riding fee is deducted from the digital wallet of the passenger;

presenting the passenger with the passenger bill information returned by the blockchain;

when bill confirmation information sent by the passenger is acquired, the bill confirmation information is sent to the blockchain to trigger the blockchain to execute an intelligent contract, so that after the blockchain is commonly identified to verify the bill confirmation information, the bill confirmation information and the passenger bill information are packaged in the same block, and the block is recorded into the blockchain, wherein the riding bill information is used for calculating credit scores of the passenger, and the credit scores are used for evaluating riding behaviors of the passenger;

And when the block input information sent by the block chain is acquired, controlling the unmanned vehicle to open a vehicle door.

2. The method of claim 1, wherein the ride bill information further comprises departure and departure times, destination and arrival times, travel times, and unmanned SN numbers.

3. The method as recited in claim 2, further comprising:

acquiring a face image of a passenger, and extracting a feature matrix from the face image according to an image analysis algorithm;

transmitting the feature matrix to the blockchain so that the blockchain searches out block data containing the feature matrix, wherein the block data carries a historical bus taking record of the passenger, and the historical bus taking record comprises bus taking bill information of the passenger;

calculating the credit score of the passenger according to the passenger bill information of the passenger;

and when the credit score is greater than or equal to a preset credit threshold value, controlling the unmanned vehicle to open a vehicle door.

4. A method according to claim 3, wherein said calculating a credit score for said passenger from said passenger's billing information comprises:

extracting each evaluation keyword from the evaluation information of the behavior in the vehicle according to a semantic algorithm, wherein each evaluation keyword corresponds to a credit value;

And accumulating the credit value of each evaluation keyword in the evaluation information to obtain the credit score of the passenger.

5. A method according to claim 3, further comprising:

and predicting the favorite route of the passenger according to the riding bill information.

6. The method according to claim 1, wherein the method further comprises:

acquiring user point clouds at two sides of a lane where the unmanned vehicle is located;

extracting a user gesture from the user point cloud based on a deep learning model;

and if the user gesture is matched with the preset vehicle calling gesture, controlling the unmanned vehicle to run to the position of the passenger matched with the user gesture.

7. The method of claim 6, wherein the drone is equipped with a display screen, and wherein controlling the drone to travel to a location of the passenger that matches the user gesture comprises:

judging whether the position of the passenger with the user gesture matched with the preset vehicle calling gesture is in a parking violation area or not;

if yes, tracking the passenger, and presenting first prompt information on the display screen, wherein the first prompt information is used for prompting the passenger to travel to a designated area for riding;

And if not, controlling the unmanned vehicle to travel to the position of the passenger.

8. The method of claim 6, wherein prior to acquiring the user point clouds on both sides of the lane in which the drone is located, the method further comprises:

judging whether a passenger reservation request is received or not;

if yes, controlling the unmanned vehicle to travel to a reserved place according to the passenger carrying reservation request;

if not, entering a step of acquiring user point clouds at two sides of a lane where the unmanned vehicle is located.

9. A method according to claim 3, characterized in that the method further comprises:

when the detection information sent by the blockchain and used for indicating that the passenger does not register the unmanned taxi taking account is obtained, generating second prompt information, wherein the second prompt information is used for prompting the passenger to register the unmanned taxi taking account;

when the registration confirmation information sent by the passenger is obtained, a digital wallet belonging to the passenger is established according to the feature matrix, wherein the digital wallet comprises an account address, a public key and a private key.

10. An unmanned vehicle, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor;

Wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the blockchain-based unmanned vehicle-based guest method of any of claims 1 to 9.