CN112339684B - A method and device for triggering automobile safety mechanism based on probability distribution - Google Patents
A method and device for triggering automobile safety mechanism based on probability distribution Download PDFInfo
- Publication number
- CN112339684B CN112339684B CN202011167314.2A CN202011167314A CN112339684B CN 112339684 B CN112339684 B CN 112339684B CN 202011167314 A CN202011167314 A CN 202011167314A CN 112339684 B CN112339684 B CN 112339684B
- Authority
- CN
- China
- Prior art keywords
- probability
- vehicle
- volume
- current
- preset
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000007246 mechanism Effects 0.000 title claims abstract description 93
- 238000000034 method Methods 0.000 title claims abstract description 37
- 230000001960 triggered effect Effects 0.000 claims abstract description 10
- 230000001133 acceleration Effects 0.000 claims description 18
- 230000009467 reduction Effects 0.000 claims description 9
- 230000003247 decreasing effect Effects 0.000 abstract 1
- 230000008447 perception Effects 0.000 description 4
- 206010039203 Road traffic accident Diseases 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000010485 coping Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 208000016354 hearing loss disease Diseases 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60T—VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
- B60T7/00—Brake-action initiating means
- B60T7/12—Brake-action initiating means for automatic initiation; for initiation not subject to will of driver or passenger
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Transportation (AREA)
- Automation & Control Theory (AREA)
- Traffic Control Systems (AREA)
Abstract
本发明实施例提供了一种基于概率分布的汽车安全机制触发方法及装置，所述包括：获取当前车厢音量以及与当前驾驶员相对应的概率表；当判断车辆处于紧急路况时，根据概率表获取对应的触发概率以判断是否触发车辆自动执行安全机制；当判断为不触发车辆自动执行安全机制时，判断驾驶员是否主动触发车辆执行安全机制；若是，则按照预设的减小规则，将对应的触发概率进行减小并更新存储；若否，则按照预设的增大规则，将对应的触发概率进行增大并更新存储。本发明能够考虑不同驾驶员对路况的判断受到音频音量影响的差异，对各个驾驶员在不同音频音量下对应的安全机制触发概率进行调整，从而使得车辆安全机制的触发能够真正满足各个驾驶员的需求。
Embodiments of the present invention provide a method and device for triggering a vehicle safety mechanism based on probability distribution, including: acquiring the current volume of the vehicle and a probability table corresponding to the current driver; when it is determined that the vehicle is in an emergency road condition, according to the probability table Obtain the corresponding trigger probability to determine whether to trigger the vehicle to automatically execute the safety mechanism; when it is determined that the vehicle is not triggered to automatically execute the safety mechanism, determine whether the driver actively triggers the vehicle to execute the safety mechanism; The corresponding trigger probability is decreased and updated and stored; if not, the corresponding trigger probability is increased and updated and stored according to a preset increase rule. The present invention can adjust the triggering probability of the safety mechanism corresponding to each driver under different audio volume, considering the difference of different drivers' judgment of road conditions affected by the audio volume, so that the triggering of the vehicle safety mechanism can truly meet the needs of each driver. need.
Description
Technical Field
The invention relates to the technical field of automobiles, in particular to a method and a device for triggering an automobile safety mechanism based on probability distribution.
Background
The existing automobiles generally have an audio playing function, so that passengers can adjust the audio volume in a carriage and listen to music or broadcast and the like according to own preferences. However, studies have shown that the human perception system is delayed when the sound in the vehicle cabin is too loud, and that the driver's ability to handle an emergency is weaker the greater the sound in the vehicle. Therefore, the audio played by the automobile may possibly scatter the attention of the driver, influence the judgment of the driver on the surrounding road conditions, and easily cause traffic accidents.
In the prior art, when it is detected that the audio volume in the car exceeds a preset volume, the vehicle is controlled to actively perform some safety control, so as to prevent traffic accidents caused by the fact that the driver is interfered by the excessive sound in the car to make judgment and treatment on emergency situations, for example, the audio volume output in the car is controlled to meet a preset requirement, or the vehicle is actively braked when the emergency situation is detected.
However, the perception system of different people has different perception abilities, and different drivers have different processing abilities for the same road condition at the same audio volume. In the prior art, whether the audio volume in the carriage interferes with the driver or not is judged through a fixed preset volume, so that the interference often cannot meet the sensing systems of different drivers, and the active control of the vehicle often cannot meet the real requirements of the different drivers. For example, for drivers with hearing impairment, the hearing level is often lower than that of drivers with normal hearing, and even if the audio volume in the car exceeds the preset volume, the judgment of the drivers on the road condition is not influenced, and if the audio volume is actively controlled to be reduced to the preset volume, the drivers are influenced to listen to the audio; for another example, even if different drivers with normal hearing level drive in a carriage with the same audio volume, the perception abilities of the drivers to the same road condition may be different, and some drivers can normally know the road condition and make a judgment, and do not need to actively brake the vehicle for emergency, and do not need to reduce the audio volume; however, if some drivers fail to know the road condition normally, it is likely that the vehicle will be required to take corresponding measures before the audio volume exceeds the preset volume.
Disclosure of Invention
The embodiment of the invention aims to provide a method and a device for triggering an automobile safety mechanism based on probability distribution, so as to solve the technical problems, consider the difference that the judgment of different drivers on road conditions is influenced by audio volume, and adjust the safety mechanism triggering probability corresponding to each driver under different audio volume, so that the triggering of the automobile safety mechanism can really meet the requirements of each driver.
In order to solve the above technical problem, an embodiment of the present invention provides a method for triggering an automobile safety mechanism based on probability distribution, including:
acquiring the volume of a current compartment and a probability table corresponding to a current driver; the probability table comprises a plurality of entries, and each entry records volume and probability corresponding to the volume;
when the vehicle is judged to be in an emergency road condition, acquiring a trigger probability corresponding to the volume of the current carriage according to the probability table, and judging whether to trigger an automatic vehicle execution safety mechanism according to the trigger probability and a preset rule;
when the automatic vehicle execution safety mechanism is judged not to be triggered according to the triggering probability and a preset rule, judging whether a driver actively triggers the automatic vehicle execution safety mechanism or not;
if so, reducing the trigger probability corresponding to the current carriage volume in the probability table according to a preset reduction rule, and updating and storing the trigger probability;
and if not, increasing the triggering probability corresponding to the current carriage volume in the probability table according to a preset increasing rule, and updating and storing the triggering probability.
Further, before the obtaining the current car volume and the probability table corresponding to the current driver, the method further includes:
when the current driver is detected to be an unassociated driver, the information of the current driver is collected, the association relationship between the current driver and the vehicle is established, and a probability table corresponding to the current driver is established.
Further, the judging method of the emergency road condition specifically includes:
acquiring the current speed of a vehicle, a preset first braking acceleration of the vehicle and the distance between the vehicle and a front vehicle; wherein the vehicle first braking acceleration is less than a vehicle maximum braking acceleration;
calculating a first braking distance according to the current vehicle speed of the vehicle and the first braking acceleration of the vehicle;
and when the first braking distance is greater than the distance between the vehicle and the front vehicle, judging that the vehicle is in an emergency road condition.
Further, the obtaining, according to the probability table, a trigger probability corresponding to the current car volume specifically includes:
judging whether a triggering probability corresponding to the current compartment volume exists in the probability table;
if yes, acquiring a trigger probability corresponding to the current carriage volume;
if not, generating a latest probability value according to a preset generation rule, taking the latest probability value as the trigger probability, and taking the latest probability value and the current carriage volume as an entry to be recorded in the probability table.
Further, the generating a latest probability value according to a preset generating rule specifically includes:
when a volume item smaller than the volume of the current compartment exists in the probability table and the probability value corresponding to the volume item is larger than a preset first preset value, generating a latest probability value, wherein the latest probability value is larger than the probability value corresponding to the volume item;
when a plurality of volume entries smaller than the volume of the current compartment exist in the probability table, and the probability value corresponding to the maximum volume value in the volume entries is not larger than the preset first preset value, calculating according to preset unit step length to obtain the latest probability value;
when there is no volume entry smaller than the current car volume in the probability table, a value not greater than 0.5 is generated as the latest probability value.
Further, the determining, according to the trigger probability and according to a preset rule, whether to trigger an automatic vehicle execution safety mechanism specifically includes:
generating a random value in the range of [0,1 ];
if the triggering probability is larger than or equal to the random value, triggering the vehicle to automatically execute a safety mechanism;
and if the triggering probability is smaller than the random value, not triggering the automatic execution safety mechanism of the vehicle.
Further, the increasing and updating the trigger probability corresponding to the current car volume in the probability table according to a preset increasing rule specifically includes:
judging whether the current road condition of the vehicle reaches a preset emergency condition or not;
if so, controlling the vehicle to actively brake, increasing the trigger probability corresponding to the current carriage volume in the probability table according to a preset first increasing rule, and updating and storing the trigger probability;
and if not, increasing the triggering probability corresponding to the current carriage volume in the probability table according to a preset second increasing rule, and updating and storing the triggering probability.
Further, the judging whether the current road condition of the vehicle reaches a preset emergency condition specifically comprises:
calculating a difference value obtained by subtracting the minimum braking distance of the vehicle from the distance between the vehicle and the front obstacle, and judging whether the difference value is smaller than a preset first distance;
if so, judging that the current road condition of the vehicle reaches a preset emergency condition;
if not, judging that the current road condition of the vehicle does not reach the preset emergency condition.
Further, the safety mechanism comprises one or more of pausing playing the audio and prompting the road condition by voice, controlling the audio volume to be reduced to a preset range, and controlling the vehicle to execute braking.
In order to solve the same technical problem, the invention provides a probability distribution-based triggering device for an automobile safety mechanism, which comprises:
the volume acquisition module is used for acquiring the volume of the current carriage and a probability table corresponding to the current driver; the probability table comprises a plurality of entries, and each entry records volume and probability corresponding to the volume;
the first judgment module is used for acquiring the trigger probability corresponding to the current carriage volume according to the probability table when the vehicle is judged to be in the emergency road condition, and judging whether to trigger the vehicle to automatically execute a safety mechanism according to the trigger probability and a preset rule;
the second judgment module is used for judging whether the driver actively triggers the vehicle to execute the safety mechanism or not when the triggering probability is judged not to trigger the vehicle to automatically execute the safety mechanism according to a preset rule;
the first updating module is used for reducing and updating the triggering probability corresponding to the current carriage volume in the probability table according to a preset reduction rule;
and the second updating module is used for increasing and updating the triggering probability corresponding to the current carriage volume in the probability table according to a preset increasing rule.
Compared with the prior art, the invention has the following beneficial effects:
the embodiment of the invention provides a method and a device for triggering an automobile safety mechanism based on probability distribution, wherein the method comprises the following steps: acquiring the volume of a current compartment and a probability table corresponding to a current driver; when the vehicle is judged to be in the emergency road condition, acquiring the corresponding triggering probability according to the probability table to judge whether to trigger the vehicle to automatically execute a safety mechanism; when the automatic vehicle execution safety mechanism is judged not to be triggered, judging whether a driver actively triggers the automatic vehicle execution safety mechanism or not; if so, reducing the corresponding trigger probability according to a preset reduction rule and updating and storing the trigger probability; if not, according to a preset increasing rule, increasing the corresponding triggering probability and updating and storing. The method and the device can consider the difference that the judgment of different drivers on the road condition is influenced by the audio volume, and adjust the triggering probability of the safety mechanism corresponding to each driver under different audio volumes, so that the triggering of the vehicle safety mechanism can really meet the requirements of each driver.
Drawings
FIG. 1 is a flowchart illustrating a method for triggering a safety mechanism of a vehicle based on probability distribution according to an embodiment of the present invention;
FIG. 2 is another schematic flow chart of a method for triggering a safety mechanism of a vehicle based on probability distribution according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a triggering device for a safety mechanism of an automobile based on probability distribution according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, an embodiment of the present invention provides a method for triggering an automobile safety mechanism based on probability distribution, including the steps of:
s1, acquiring the volume of the current compartment and a probability table corresponding to the current driver; the probability table includes a plurality of entries, and each entry records a volume and a probability corresponding to the volume.
And S2, when the vehicle is judged to be in the emergency road condition, acquiring the triggering probability corresponding to the current carriage volume according to the probability table, and judging whether to trigger the vehicle to automatically execute a safety mechanism according to the triggering probability and a preset rule.
In the embodiment of the present invention, further, the determining method of the emergency road condition specifically includes:
acquiring the current speed of a vehicle, a preset first braking acceleration of the vehicle and the distance between the vehicle and a front vehicle; wherein the vehicle first braking acceleration is less than a vehicle maximum braking acceleration;
calculating a first braking distance according to the current vehicle speed of the vehicle and the first braking acceleration of the vehicle;
and when the first braking distance is greater than the distance between the vehicle and the front vehicle, judging that the vehicle is in an emergency road condition.
In this embodiment of the present invention, further, the obtaining, according to the probability table, a trigger probability corresponding to the current car volume includes:
judging whether a triggering probability corresponding to the current compartment volume exists in the probability table;
if yes, acquiring a trigger probability corresponding to the current carriage volume;
if not, generating a latest probability value according to a preset generation rule, taking the latest probability value as the trigger probability, and taking the latest probability value and the current carriage volume as an entry to be recorded in the probability table.
In the embodiment of the present invention, further, the generating a latest probability value according to a preset generation rule specifically includes:
when a volume item smaller than the volume of the current compartment exists in the probability table and the probability value corresponding to the volume item is larger than a preset first preset value, generating a latest probability value, wherein the latest probability value is larger than the probability value corresponding to the volume item;
when a plurality of volume entries smaller than the volume of the current compartment exist in the probability table, and the probability value corresponding to the maximum volume value in the volume entries is not larger than the preset first preset value, calculating according to preset unit step length to obtain the latest probability value;
when there is no volume entry smaller than the current car volume in the probability table, a value not greater than 0.5 is generated as the latest probability value.
In the embodiment of the present invention, further, the determining, according to the trigger probability and according to a preset rule, whether to trigger an automatic vehicle execution safety mechanism specifically includes:
generating a random value in the range of [0,1 ];
if the triggering probability is larger than or equal to the random value, triggering the vehicle to automatically execute a safety mechanism;
and if the triggering probability is smaller than the random value, not triggering the automatic execution safety mechanism of the vehicle.
S3, judging whether the driver actively triggers the vehicle to execute the safety mechanism or not when judging that the vehicle automatically executes the safety mechanism is not triggered according to the triggering probability and a preset rule;
s4, if yes, reducing the triggering probability corresponding to the current carriage volume in the probability table according to a preset reduction rule, and updating and storing the triggering probability;
and S5, if not, increasing the trigger probability corresponding to the current carriage volume in the probability table according to a preset increasing rule, and updating and storing the trigger probability.
In this embodiment of the present invention, further, the increasing and updating the trigger probability corresponding to the current car volume in the probability table according to a preset increasing rule specifically includes:
judging whether the current road condition of the vehicle reaches a preset emergency condition or not;
if so, controlling the vehicle to actively brake, increasing the trigger probability corresponding to the current carriage volume in the probability table according to a preset first increasing rule, and updating and storing the trigger probability;
and if not, increasing the triggering probability corresponding to the current carriage volume in the probability table according to a preset second increasing rule, and updating and storing the triggering probability.
In the embodiment of the present invention, further, the determining whether the current road condition of the vehicle meets a preset emergency condition specifically includes:
calculating a difference value obtained by subtracting the minimum braking distance of the vehicle from the distance between the vehicle and the front obstacle, and judging whether the difference value is smaller than a preset first distance;
if so, judging that the current road condition of the vehicle reaches a preset emergency condition;
if not, judging that the current road condition of the vehicle does not reach the preset emergency condition.
In this embodiment of the present invention, before the obtaining of the current car volume and the probability table corresponding to the current driver, the method further includes:
s6, when it is detected that the current driver is an unassociated driver, collecting information of the current driver, establishing an association relationship between the current driver and the vehicle, and establishing a probability table corresponding to the current driver.
In the embodiment of the invention, the safety mechanism comprises one or more of pausing playing the audio and prompting the road condition by voice, controlling the audio volume to be reduced to a preset range and controlling the vehicle to execute braking.
It should be noted that, according to the method for triggering the safety mechanism of the vehicle based on the probability distribution provided by the invention, different probability tables are established for different drivers, and whether the emergency situations of the different drivers at different audio volumes actively trigger the safety mechanism is detected, so that whether the different audio volumes affect the judgment of the corresponding drivers on the road condition is indirectly known, and further, the probability of triggering the safety mechanism corresponding to the different drivers at different audio volumes is adjusted, so that the triggering of the safety mechanism of the vehicle at different audio volumes can really meet the requirements of the drivers.
Based on the above scheme, in order to better explain the method for triggering the automobile safety mechanism based on probability distribution provided by the present invention, specific examples are listed below for explanation, and the method includes:
step 1: detecting whether a current driver is an associated driver or not when the vehicle runs; if not, entering the step 2; if yes, go to step 3.
Step 2: collecting information of a current driver, storing the information in a driver information base, and establishing an incidence relation between the current driver and a vehicle; and a probability table is newly established for the current driver as shown in table 1, and the process proceeds to step 3. (the number of entries of the probability table for each driver is gradually increased as the driving time of the driver increases).
TABLE 1 probability table
| L (decibel) | P(L) |
| L1 | P1 |
| L2 | P2 |
| … | … |
And step 3: obtaining the current volume L in the carriagecurr；
And 4, step 4: detecting whether the current vehicle is in an emergency road condition; if not, returning to the step 3; if yes, entering step 5;
in step 4, whether the vehicle is in an emergency road condition can be detected according to the following steps 4.1-4.3:
step 4.1: acquiring the current speed of a vehicle, a preset first braking acceleration of the vehicle and a distance between the vehicle and a front vehicle;
step 4.2: calculating a first braking distance according to the current vehicle speed and the first braking acceleration; it should be noted that, considering that it is preferable to give the vehicle a buffer distance, the first braking acceleration is preferably smaller than the maximum braking acceleration of the vehicle, and thus the calculated first braking distance may be larger than the braking distance calculated according to the maximum braking acceleration, which is beneficial to provide the vehicle with a sufficient distance or time to cope with special situations;
step 4.3: and when the first braking distance is greater than the vehicle distance, judging that the vehicle is in an emergency road condition.
And 5: inquiring current volume L from probability tablecurrCorresponding probability P (L)curr) (ii) a If the current volume L does not exist in the probability tablecurrCorresponding probability P (L)curr) Then entry { L }curr,P(Lcurr)＝P0Add to probability table, P0Is a preset value;
in step 5, P0Can be determined according to the following steps:
step 5.1: when there is less than current volume L in the probability tablecurrVolume L oflowAnd the volume LlowCorresponding probability P (L)low) If greater than the first predetermined value, then P0Is set to be not less than P (L)low) The value of (P (L) is the greater the volume in the vehicle is, the more the capability of the driver is affectedlow) Already large, P (L)curr) Larger only, e.g. a first preset value of 0.9, P (L)curr)＝P0＝1)。
Step 5.2: when there is less than current volume L in the probability tablecurrVolume L oflowAnd all volumes LlowMedian maximum value Llow-maxCorresponding probability P (L)low-max) If not greater than the first preset value, P is calculated according to a certain unit step length0E.g. unit step size of 0.01, Lcurr-Llow-maxWhen the value is 5db, P (L) is calculatedcurr)＝P0＝P(Llow-max)+0.01*5。
Step 5.3: when there is no less than the current volume L in the probability tablecurrVolume L oflowWhen it is, P (L) is setcurr)＝P0A default value, such as 0.5, and P (L) to increase the update rate of the probabilitycurr)＝P0Not exceeding 0.5 because if it exceeds 0.5, the initial probability of the current volume is higher and the vehicle is more likely to be actively performing the safety mechanism and less performing steps 7-9, resulting in slower probability updating.
Step 6: with P (L)curr) Triggers the vehicle to automatically execute the safety mechanism in 1-P (L)curr) Does not trigger the vehicle to implement a safety mechanism;
step 6.1: randomly generating a random value epsilon within the range of [0,1 ];
step 6.2: if epsilon<＝P(Lcurr) Triggering the automatic execution safety mechanism of the vehicle;
step 6.3: if epsilon>P(Lcurr) The vehicle enforcement safety mechanism is not triggered.
The safety mechanism of the vehicle can be set according to actual needs, for example, the current audio frequency is temporarily stopped, the current road condition needing attention of the driver is prompted through voice, for example, the audio frequency volume is controlled to be reduced to a preset range, or the vehicle is decelerated, avoided from surrounding objects, braked and the like, and multiple mechanisms can be combined.
And 7: if the vehicle execution safety mechanism is not triggered in the step 6, detecting whether the driver actively triggers the vehicle execution safety mechanism or not; if the driver does not actively trigger the vehicle to execute the safety mechanism, the method goes to step 8; if the driver actively triggers the vehicle to execute a safety mechanism, the method goes to step 9;
and 8: judging whether the road condition of the current vehicle reaches a preset condition, if so, forcibly controlling the vehicle to actively brake, and increasing the current volume L according to a preset first increase rulecurrCorresponding summaryRate P (L)curr) (ii) a If the road condition of the current vehicle does not reach the preset condition, increasing the current volume L according to a preset second increase rulecurrCorresponding probability P (L)curr) And returning to the steps 3-7. (considering that the safety mechanism is not triggered in the step 6 and the driver does not actively trigger the safety mechanism, if the vehicle returns to the steps 3-7, the vehicle may not have enough time to avoid a traffic accident, so the vehicle returns to the steps 3-7 when the preset condition is not reached, and if the preset condition is reached, the vehicle road condition is relatively urgent, and the vehicle is directly and actively braked).
In step 8, when the difference between the current distance between the vehicle and the object in front and the minimum braking distance of the vehicle is less than a preset distance, it is determined that the road condition of the current vehicle meets the preset condition. The minimum braking distance is a distance required for decelerating to 0 when the current vehicle speed is braked according to the maximum braking acceleration.
In "step 8", the first increasing rule may be the same as or different from the second increasing rule, for example, the first increasing rule is P' (L)curr)＝P(Lcurr)*δ+1-δ，P’(Lcurr) For increased probability, δ is at [0,1]]Inner, e.g., δ 0.95; the second increasing rule is P' (L)curr)＝P(Lcurr)*(1+α),α>0, α can be adjusted according to actual needs, for example, α is 0.05. Probability P' (L)curr) The upper limit value of (2) is 1.
And step 9: according to a certain reduction rule, reducing the current volume LcurrCorresponding probability P (L)curr) (ii) a (if the driver actively executes the safety mechanism in step 7, the current volume L is indicatedcurrThe judgment of the driver on the road condition is not influenced, and the P (L) in the probability table can be updatedcurr) Reducing the current volume L of the vehiclecurrProbability of triggering security mechanism down).
In step 9, the reduction rule may be P' (L)curr)＝P(Lcurr)*δ。
Continuously executing the steps 1 to 9, the probability P (L) corresponding to the audio volume L which influences the response capability of the driver is increased because P corresponding to different audio volumes L tends to be stable, so that the vehicle execution safety mechanism is easier to be actively triggered in the step 6; the probability P (L) corresponding to the audio volume which does not affect the coping ability of the driver is reduced, and the audio listening of the driver is not hindered.
It should be noted that, in an embodiment, step 8 may directly increase the probability P (L) without the judgment of the preset conditioncurr) And returning to the steps 3-7.
It should be noted that, in a specific embodiment, the safety mechanism, the first increase rule, the second increase rule, and the decrease rule may be set according to actual needs, for example, the corresponding mechanism/rule is specifically set according to different vehicle models, vehicle performances, and the like.
It should be noted that, in the specific embodiment, the probability table is not limited to the form of table 1, as long as the probability corresponding to the current volume can be found. For example, the audio frequencies may be grouped by range, with each group corresponding to a probability, e.g., 50db to 60db for P1 and 60db to 70db for P2.
It should be noted that, in an embodiment, the probability table of the driver may be shared synchronously on different vehicles/platforms through a preset software/access interface, etc. to speed up the update of the probability table of the driver and facilitate the triggering of the safety mechanism on different vehicles with relatively accurate probability without repeatedly updating the probability table.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the invention provides a probability distribution-based automobile safety mechanism triggering method, which indirectly knows whether different audio volumes can influence the judgment of a driver on road conditions by detecting whether the driver actively triggers a safety mechanism under emergency conditions of different audio volumes, and further adjusts the probability of triggering the safety mechanism corresponding to different audio volumes, so that the triggering of the automobile safety mechanism under different audio volumes can really meet the requirements of the driver.
It should be noted that the above method or flow embodiment is described as a series of acts or combinations for simplicity, but those skilled in the art should understand that the present invention is not limited by the described acts or sequences, as some steps may be performed in other sequences or simultaneously according to the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are exemplary embodiments and that no single embodiment is necessarily required by the inventive embodiments.
Referring to fig. 3, to solve the same technical problem, the present invention provides a probability distribution-based triggering device for a safety mechanism of an automobile, including:
the system comprises a volume acquisition module 1, a volume acquisition module and a probability table, wherein the volume acquisition module is used for acquiring the volume of a current carriage and the probability table corresponding to a current driver; the probability table comprises a plurality of entries, and each entry records volume and probability corresponding to the volume;
the first judgment module 2 is used for acquiring the trigger probability corresponding to the current carriage volume according to the probability table when the vehicle is judged to be in the emergency road condition, and judging whether to trigger the vehicle to automatically execute a safety mechanism according to the trigger probability and a preset rule;
the second judgment module 3 is used for judging whether the driver actively triggers the vehicle to execute the safety mechanism or not when judging that the vehicle automatic execution safety mechanism is not triggered according to the trigger probability according to a preset rule;
the first updating module 4 is configured to reduce and update the trigger probability corresponding to the current car volume in the probability table according to a preset reduction rule;
and the second updating module 5 is configured to increase and update the trigger probability corresponding to the current car volume in the probability table according to a preset increase rule.
It can be understood that the above-mentioned embodiment of the apparatus item corresponds to the embodiment of the method item of the present invention, and the probability distribution-based triggering apparatus for an automobile safety mechanism provided in the embodiment of the present invention can implement the probability distribution-based triggering method for an automobile safety mechanism provided in any embodiment of the method item of the present invention.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A method for triggering an automobile safety mechanism based on probability distribution is characterized by comprising the following steps:
acquiring the volume of a current compartment and a probability table corresponding to a current driver; the probability table comprises a plurality of entries, and each entry records volume and probability corresponding to the volume;
when the vehicle is judged to be in an emergency road condition, acquiring a trigger probability corresponding to the volume of the current carriage according to the probability table, and judging whether to trigger an automatic vehicle execution safety mechanism according to the trigger probability and a preset rule;
when the automatic vehicle execution safety mechanism is judged not to be triggered according to the triggering probability and a preset rule, judging whether a driver actively triggers the automatic vehicle execution safety mechanism or not;
if so, reducing the trigger probability corresponding to the current carriage volume in the probability table according to a preset reduction rule, and updating and storing the trigger probability;
and if not, increasing the triggering probability corresponding to the current carriage volume in the probability table according to a preset increasing rule, and updating and storing the triggering probability.
2. The method for triggering safety mechanisms of automobiles according to claim 1, wherein before the obtaining the current car volume and the probability table corresponding to the current driver, further comprising:
when the current driver is detected to be an unassociated driver, the information of the current driver is collected, the association relationship between the current driver and the vehicle is established, and a probability table corresponding to the current driver is established.
3. The probability distribution-based triggering method for automobile safety mechanisms according to claim 1, wherein the judging method of the emergency road conditions specifically comprises:
acquiring the current speed of a vehicle, a preset first braking acceleration of the vehicle and the distance between the vehicle and a front vehicle; wherein the vehicle first braking acceleration is less than a vehicle maximum braking acceleration;
calculating a first braking distance according to the current vehicle speed of the vehicle and the first braking acceleration of the vehicle;
and when the first braking distance is greater than the distance between the vehicle and the front vehicle, judging that the vehicle is in an emergency road condition.
4. The method as claimed in claim 1, wherein the obtaining the trigger probability corresponding to the current car volume according to the probability table specifically includes:
judging whether a triggering probability corresponding to the current compartment volume exists in the probability table;
if yes, acquiring a trigger probability corresponding to the current carriage volume;
if not, generating a latest probability value according to a preset generation rule, taking the latest probability value as the trigger probability, and taking the latest probability value and the current carriage volume as an entry to be recorded in the probability table.
5. The probability distribution-based triggering method for automobile safety mechanisms according to claim 4, wherein the generating a latest probability value according to a preset generation rule specifically comprises:
when a volume item smaller than the volume of the current compartment exists in the probability table and the probability value corresponding to the volume item is larger than a preset first preset value, generating a latest probability value, wherein the latest probability value is larger than the probability value corresponding to the volume item;
when a plurality of volume entries smaller than the volume of the current compartment exist in the probability table, and the probability value corresponding to the maximum volume value in the volume entries is not larger than the preset first preset value, calculating according to preset unit step length to obtain the latest probability value;
when there is no volume entry smaller than the current car volume in the probability table, a value not greater than 0.5 is generated as the latest probability value.
6. The method for triggering an automobile safety mechanism based on probability distribution according to claim 1, wherein the step of judging whether to trigger an automobile automatic execution safety mechanism according to the trigger probability and a preset rule specifically comprises the following steps:
generating a random value in the range of [0,1 ];
if the triggering probability is larger than or equal to the random value, triggering the vehicle to automatically execute a safety mechanism;
and if the triggering probability is smaller than the random value, not triggering the automatic execution safety mechanism of the vehicle.
7. The method for triggering safety mechanisms of automobiles according to claim 1, wherein the increasing and updating the triggering probability corresponding to the current car volume in the probability table according to a preset increasing rule comprises:
judging whether the current road condition of the vehicle reaches a preset emergency condition or not;
if so, controlling the vehicle to actively brake, increasing the trigger probability corresponding to the current carriage volume in the probability table according to a preset first increasing rule, and updating and storing the trigger probability;
and if not, increasing the triggering probability corresponding to the current carriage volume in the probability table according to a preset second increasing rule, and updating and storing the triggering probability.
8. The method for triggering the automobile safety mechanism based on the probability distribution of claim 7, wherein the step of judging whether the current road condition of the vehicle meets a preset emergency condition specifically comprises the following steps:
calculating a difference value obtained by subtracting the minimum braking distance of the vehicle from the distance between the vehicle and the front obstacle, and judging whether the difference value is smaller than a preset first distance;
if so, judging that the current road condition of the vehicle reaches a preset emergency condition;
if not, judging that the current road condition of the vehicle does not reach the preset emergency condition.
9. The method as claimed in any one of claims 1 to 8, wherein the safety mechanism includes one or more of pausing the audio and voice-prompting to pay attention to the road condition, controlling the audio volume to be reduced within a predetermined range, and controlling the vehicle to perform braking.
10. An automobile safety mechanism triggering device based on probability distribution is characterized by comprising:
the volume acquisition module is used for acquiring the volume of the current carriage and a probability table corresponding to the current driver; the probability table comprises a plurality of entries, and each entry records volume and probability corresponding to the volume;
the first judgment module is used for acquiring the trigger probability corresponding to the current carriage volume according to the probability table when the vehicle is judged to be in the emergency road condition, and judging whether to trigger the vehicle to automatically execute a safety mechanism according to the trigger probability and a preset rule;
the second judgment module is used for judging whether the driver actively triggers the vehicle to execute the safety mechanism or not when the triggering probability is judged not to trigger the vehicle to automatically execute the safety mechanism according to a preset rule;
the first updating module is used for reducing and updating the triggering probability corresponding to the current carriage volume in the probability table according to a preset reduction rule;
and the second updating module is used for increasing and updating the triggering probability corresponding to the current carriage volume in the probability table according to a preset increasing rule.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011167314.2A CN112339684B (en) | 2020-10-27 | 2020-10-27 | A method and device for triggering automobile safety mechanism based on probability distribution |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011167314.2A CN112339684B (en) | 2020-10-27 | 2020-10-27 | A method and device for triggering automobile safety mechanism based on probability distribution |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112339684A CN112339684A (en) | 2021-02-09 |
| CN112339684B true CN112339684B (en) | 2021-12-24 |
Family
ID=74359169
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011167314.2A Active CN112339684B (en) | 2020-10-27 | 2020-10-27 | A method and device for triggering automobile safety mechanism based on probability distribution |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112339684B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115503632B (en) * | 2022-10-31 | 2025-06-17 | 易控智驾科技股份有限公司 | Unmanned mining vehicle braking distance acquisition method, device, electronic equipment and storage medium |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2023270A2 (en) * | 2007-07-25 | 2009-02-11 | Sony Corporation | Information processing apparatus, information processing method, and computer program |
| KR20130026933A (en) * | 2011-09-06 | 2013-03-14 | 현대모비스 주식회사 | Apparatus for preventing collision of vehicle and method thereof |
| CN104835340A (en) * | 2015-05-12 | 2015-08-12 | 天脉聚源(北京)传媒科技有限公司 | Volume processing method and volume processing device |
| CN105530563A (en) * | 2014-09-28 | 2016-04-27 | 小米科技有限责任公司 | Method and device for volume control |
| CN106878862A (en) * | 2016-12-29 | 2017-06-20 | 惠州华阳通用电子有限公司 | A kind of inter-vehicle information system method for controlling volume and device |
| CN107235004A (en) * | 2017-05-11 | 2017-10-10 | 汪超 | The method and automobile of a kind of sound volume of automobile horn control |
| CN108621933A (en) * | 2018-05-10 | 2018-10-09 | 重庆长安汽车股份有限公司 | A kind of vehicle-mounted control method and system based on active safety technologies |
| CN108696794A (en) * | 2017-03-30 | 2018-10-23 | 福特全球技术公司 | Adaptive occupant's session sensory perceptual system |
| CN108696796A (en) * | 2017-04-11 | 2018-10-23 | 福特全球技术公司 | Vehicle acoustical warning system based on existing sensor(AVAS)Diagnosis |
| CN110171430A (en) * | 2018-02-20 | 2019-08-27 | 通用汽车环球科技运作有限责任公司 | Engine sound enhancement system and method for gear shifting |
| CN110248021A (en) * | 2019-05-10 | 2019-09-17 | 百度在线网络技术（北京）有限公司 | A kind of smart machine method for controlling volume and system |
| CN110329144A (en) * | 2019-03-30 | 2019-10-15 | 惠州德赛信息科技有限公司 | A kind of Vehicular intelligent whistle method |
| CN110603177A (en) * | 2017-04-25 | 2019-12-20 | 株式会社电装 | Vehicle brake assist device and brake assist method |
| CN110774980A (en) * | 2019-11-06 | 2020-02-11 | 南京酷沃智行科技有限公司 | Rear vehicle distance monitoring system and method during emergency braking of vehicle |
| KR20200028852A (en) * | 2018-09-07 | 2020-03-17 | 난징 호라이즌 로보틱스 테크놀로지 컴퍼니 리미티드 | Method, apparatus for blind signal seperating and electronic device |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9239380B2 (en) * | 2008-05-21 | 2016-01-19 | Adc Automotive Distance Control Systems Gmbh | Driver assistance system for avoiding collisions of a vehicle with pedestrians |
| US9365162B2 (en) * | 2012-08-20 | 2016-06-14 | Magna Electronics Inc. | Method of obtaining data relating to a driver assistance system of a vehicle |
| KR101748276B1 (en) * | 2016-03-10 | 2017-06-16 | 현대자동차주식회사 | Method for providing sound detection information, apparatus detecting sound around vehicle, and vehicle including the same |
| KR101807616B1 (en) * | 2016-04-21 | 2017-12-11 | 현대자동차주식회사 | Method for providing sound detection information, apparatus detecting sound around vehicle, and vehicle including the same |
| US10315649B2 (en) * | 2016-11-29 | 2019-06-11 | Ford Global Technologies, Llc | Multi-sensor probabilistic object detection and automated braking |
| US20180370502A1 (en) * | 2017-06-27 | 2018-12-27 | Dura Operating, Llc | Method and system for autonomous emergency self-learning braking for a vehicle |
-
2020
- 2020-10-27 CN CN202011167314.2A patent/CN112339684B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2023270A2 (en) * | 2007-07-25 | 2009-02-11 | Sony Corporation | Information processing apparatus, information processing method, and computer program |
| KR20130026933A (en) * | 2011-09-06 | 2013-03-14 | 현대모비스 주식회사 | Apparatus for preventing collision of vehicle and method thereof |
| CN105530563A (en) * | 2014-09-28 | 2016-04-27 | 小米科技有限责任公司 | Method and device for volume control |
| CN104835340A (en) * | 2015-05-12 | 2015-08-12 | 天脉聚源(北京)传媒科技有限公司 | Volume processing method and volume processing device |
| CN106878862A (en) * | 2016-12-29 | 2017-06-20 | 惠州华阳通用电子有限公司 | A kind of inter-vehicle information system method for controlling volume and device |
| CN108696794A (en) * | 2017-03-30 | 2018-10-23 | 福特全球技术公司 | Adaptive occupant's session sensory perceptual system |
| CN108696796A (en) * | 2017-04-11 | 2018-10-23 | 福特全球技术公司 | Vehicle acoustical warning system based on existing sensor(AVAS)Diagnosis |
| CN110603177A (en) * | 2017-04-25 | 2019-12-20 | 株式会社电装 | Vehicle brake assist device and brake assist method |
| CN107235004A (en) * | 2017-05-11 | 2017-10-10 | 汪超 | The method and automobile of a kind of sound volume of automobile horn control |
| CN110171430A (en) * | 2018-02-20 | 2019-08-27 | 通用汽车环球科技运作有限责任公司 | Engine sound enhancement system and method for gear shifting |
| CN108621933A (en) * | 2018-05-10 | 2018-10-09 | 重庆长安汽车股份有限公司 | A kind of vehicle-mounted control method and system based on active safety technologies |
| KR20200028852A (en) * | 2018-09-07 | 2020-03-17 | 난징 호라이즌 로보틱스 테크놀로지 컴퍼니 리미티드 | Method, apparatus for blind signal seperating and electronic device |
| CN110329144A (en) * | 2019-03-30 | 2019-10-15 | 惠州德赛信息科技有限公司 | A kind of Vehicular intelligent whistle method |
| CN110248021A (en) * | 2019-05-10 | 2019-09-17 | 百度在线网络技术（北京）有限公司 | A kind of smart machine method for controlling volume and system |
| CN110774980A (en) * | 2019-11-06 | 2020-02-11 | 南京酷沃智行科技有限公司 | Rear vehicle distance monitoring system and method during emergency braking of vehicle |
Non-Patent Citations (3)
| Title |
|---|
| 一种双端通话检测算法中噪音阈值自动更新的方法;张子刚;《中国优秀硕士学位论文全文数据库》;20150315(第3期);第23-25页 * |
| 时间触发CAN总线实时性分析及评估方法;夏继强;《北京航空航天大学学报》;20120228;第38卷(第2期);第222-227页 * |
| 概率公式教学研究与应用探索;陈学慧;《大学数学》;20160630;第32卷(第3期);第86-89页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112339684A (en) | 2021-02-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP7360399B2 (en) | System and method for steady state vehicle sound synthesis | |
| US11904772B2 (en) | Acoustic vehicle alerting system and method | |
| US6389332B1 (en) | Information system and process in a vehicle | |
| JP4134989B2 (en) | Automotive audio equipment | |
| CN106627531A (en) | Control method and device for automatic emergency braking of vehicle, and vehicle | |
| JP2016137834A (en) | Vehicle travel control device | |
| CN112339684B (en) | A method and device for triggering automobile safety mechanism based on probability distribution | |
| WO2019030952A1 (en) | Alert device for vehicles | |
| CN114435353B (en) | Vehicle control method, device, storage medium, electronic equipment and vehicle | |
| CN103847523A (en) | Automatic vehicle speed limiting device, method and vehicle comprising device | |
| US12269471B2 (en) | Acceleration limit control apparatus and method | |
| KR20220054504A (en) | Vehicle and control method for the same | |
| CN112672255B (en) | A kind of vehicle sound source volume adaptive adjustment method and device | |
| CN108621933A (en) | A kind of vehicle-mounted control method and system based on active safety technologies | |
| US20060002571A1 (en) | Self-adjusted car stereo system | |
| CN118269817A (en) | Vehicle voice prompt method, vehicle-mounted controller and vehicle | |
| KR101188597B1 (en) | Auto Audio Sound Control | |
| US20060030349A1 (en) | Emergency calling system for a passenger transporting system, especially for a motor vehicle and a method for automatically transmitting an emergency call | |
| CN109733278A (en) | A kind of automobile horn controller and loudspeaker control method | |
| JP5565076B2 (en) | Vehicle sound generator | |
| JP2020157961A (en) | Driving assistance device, driving assistance method and driving assistance program | |
| JP2023549532A (en) | Alarm damping device and alarm management method | |
| US12185064B2 (en) | Electrically or partially electrically powered vehicle with an active sound design system | |
| EP4528715A1 (en) | Method and apparatus for occupant-based noise cancellation | |
| CN120171422A (en) | Adaptive alarm sound control method for parking radar |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |