CN205800930U - Automotive safety DAS (Driver Assistant System) based on monocular camera machine vision - Google Patents

Abstract

This utility model discloses a kind of automotive safety DAS (Driver Assistant System) based on monocular camera machine vision, including image capture module, GPS locating module, data processing module, voice module, display module, pedal brake module and vehicle power, use the image information of image capture module Real-time Collection vehicle periphery, and control braking, improve the accuracy of detection to pedestrian, being braked of intelligence, greatly shorten the brake coordination time, avoid the accident caused because of time of driver's reaction other anthropic factors such as long grade, simple in construction, with low cost, it is suitable for large-scale popularization to use.

Description

Automobile Safety Assisted Driving System Based on Monocular Machine Vision

【Technical field】

The utility model relates to a vehicle auxiliary driving device, in particular to an automobile safety auxiliary driving system based on monocular machine vision.

【Background technique】

Driving safety has always been one of the concerns of people. With the increase of car ownership and the continuous improvement of road grades in our country, the speed of cars is getting faster and faster, the traffic volume is also increasing, and there are more and more traffic accidents. , the traffic safety problem is also more and more subject to people's attention. The causes of automobile collisions with pedestrians are very complicated, but the driver's human factor is the main factor. The automobile safety assistance system is based on improving the active safety of the vehicle, reducing traffic safety accidents, and realizing the safety guarantee device during the driving process of the vehicle.

The Department of Information Engineering of the University of Parma in Italy is conducting research on the ARGO Project with the support of the government. It designs an unmanned driving system that can drive on the highway through a test car rebuilt from a car; the Chevrolet smart car developed by General Motors of the United States uses A variety of sensors can completely detect pedestrians under low vehicle speed conditions. However, the conditions of low vehicle speed also bring some limitations to this car. The existing auxiliary driving system has low recognition accuracy, high cost and low practicability.

【Content of utility model】

The purpose of the utility model is to provide a low-cost automobile safety auxiliary driving system based on monocular machine vision, which improves the detection rate of pedestrians and makes the detection results more accurate.

In order to achieve the above object, the utility model adopts the following technical solutions:

Automobile safety assisted driving system based on monocular machine vision, including

Image acquisition module: used for real-time acquisition of image information around the vehicle;

GPS positioning module: used to collect the location and time information of the current vehicle in real time;

Data processing module: used to receive and process the information sent by the image acquisition module and GPS positioning module in real time, and judge whether the pedestrians in front and behind the vehicle are within the safe range;

Voice module: used to give a voice alarm to the car owner when there is a dangerous situation;

Display module: used to display the image collected by the image acquisition module;

Pedal brake module: control the up and down sliding of the car pedal according to the information sent by the data processing module to decelerate the vehicle;

Vehicle power supply: provide power for each module.

Further, the image acquisition module includes a reversing camera and a forward camera, the reversing camera is fixed on the left side of the license plate, and the forward camera is fixed on the right side of the license plate.

Further, the forward camera is used to collect image information in front of the vehicle in real time during the forward process of the vehicle, and the rear camera head collects image information behind the vehicle in real time during the reversing process.

Further, the image acquisition module is composed of a CCD camera.

Further, the data processing module includes a microprocessor, a memory and a baseband processor.

The utility model builds a car safety auxiliary driving system based on monocular machine vision and pedestrian detection, which solves technical problems such as the collection and processing of image information in the driving state, and the control of the braking system according to the processing results. The acquisition module collects the image information around the vehicle in real time, and controls the braking, which improves the detection accuracy of pedestrians, intelligently brakes, greatly shortens the braking coordination time, and avoids other human factors such as excessive driver reaction time. Accidents caused by factors, simple structure, low cost, suitable for mass promotion and use.

Further, the image acquisition module is composed of a CCD camera, and the cost is low.

【Description of drawings】

Fig. 1 is the structural representation of the utility model.

【detailed description】

Below in conjunction with accompanying drawing, the utility model is described in further detail:

See Figure 1, the car safety assisted driving system based on monocular machine vision, including the following modules:

Image acquisition module: the reversing image head is fixed on the left side of the license plate, and the forward camera is fixed on the right side of the license plate. The image acquisition module is used to collect the image information in front of the vehicle in real time during the forward process of the vehicle, and to collect the image information behind the vehicle in real time during the reversing process. image information;

GPS positioning module: used to collect the location and time information of the current vehicle in real time;

Data processing module: used to receive and process the information sent by the image acquisition module and GPS positioning module in real time, and judge whether the pedestrians in front and behind the vehicle are within the safe range;

Voice module: used to give a voice alarm to the car owner when there is a dangerous situation;

Display module: used to display image information, so that the owner can make real-time judgments at the same time;

Pedal brake module: It can control the up and down sliding of the car pedal to brake after the data processing module judges it as dangerous, so as to decelerate the vehicle;

Vehicle power supply: provide power for each module;

The image acquisition module, GPS positioning module, voice module, display module, pedal brake module and vehicle power supply are respectively connected with the data processing module.

2. Implementation steps of the car safety assisted driving system based on monocular machine vision:

a. System initialization, self-inspection of each module, data initialization, and GPS synchronization after the vehicle starts;

b. During the driving process of the car, image information is collected, and the acquired image information is transmitted to the data processing module in real time;

c. Use the pedestrian detection algorithm to process the collected image data to find out whether there are pedestrians and judge whether they are within the safe range;

d. The pedal brake module, if there are pedestrians and is not within the safe range, the display module will provide the owner with an alarm message, and the voice module will issue an early warning. At the same time, the pedal brake module will control the pedal to slide down to achieve deceleration or braking; if In other cases, the pedal remains in its original state.

The above content is a further detailed description of the utility model in conjunction with specific preferred embodiments. It cannot be determined that the specific embodiment of the utility model is limited to this. Under the premise of the new concept, some simple deduction or replacement can also be made, which should be regarded as belonging to the utility model and the patent protection scope is determined by the submitted claims.

Claims (5)

1. automotive safety DAS (Driver Assistant System) based on monocular camera machine vision, it is characterised in that including:

Image capture module: for the image information of Real-time Collection vehicle periphery；

GPS locating module: in order to the location and time information of Real-time Collection Current vehicle；

Data processing module: in order to real-time reception and process image capture module, the information that GPS locating module sends, it is judged that car Before and after, whether pedestrian is in safety range；

Voice module: in order to when dangerous situation, to car owner with voice alarm；

Display module: in order to show the image that image capture module gathers；

Pedal brake module: the information sent according to data processing module controls the sliding up and down, for vehicle deceleration of auto pedal；

Vehicle power: provide power supply for each module.

Automotive safety DAS (Driver Assistant System) based on monocular camera machine vision the most according to claim 1, it is characterised in that: institute Stating image capture module and include reverse image head and advance photographic head, reverse image head is fixed on the left of car plate, advance photographic head It is fixed on the right side of car plate.

Automotive safety DAS (Driver Assistant System) based on monocular camera machine vision the most according to claim 2, it is characterised in that: institute Stating advance photographic head image information of Real-time Collection vehicle front during advancing at vehicle, reverse image head was being moveed backward The image information of Real-time Collection rear view of vehicle in journey.

4., according to the automotive safety DAS (Driver Assistant System) based on monocular camera machine vision described in claim 1,2 or 3, its feature exists In: described image capture module is made up of ccd video camera.

5., according to the automotive safety DAS (Driver Assistant System) based on monocular camera machine vision described in claim 1,2 or 3, its feature exists In: described data processing module includes microprocessor, memorizer and baseband processor.