CN220500675U - Intelligent vehicle defensive driving system under vision blind area environment - Google Patents
Intelligent vehicle defensive driving system under vision blind area environment Download PDFInfo
- Publication number
- CN220500675U CN220500675U CN202320783571.1U CN202320783571U CN220500675U CN 220500675 U CN220500675 U CN 220500675U CN 202320783571 U CN202320783571 U CN 202320783571U CN 220500675 U CN220500675 U CN 220500675U
- Authority
- CN
- China
- Prior art keywords
- transceiver
- intelligent vehicle
- module
- control module
- unit
- 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
- 230000000007 visual effect Effects 0.000 claims abstract description 14
- 238000012544 monitoring process Methods 0.000 claims abstract description 9
- 238000004891 communication Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 7
- 206010039203 Road traffic accident Diseases 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 5
- 238000000034 method Methods 0.000 description 4
- 238000013527 convolutional neural network Methods 0.000 description 2
- 230000003449 preventive effect Effects 0.000 description 2
- 239000004575 stone Substances 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000000306 recurrent effect Effects 0.000 description 1
- 239000000523 sample Substances 0.000 description 1
Landscapes
- Traffic Control Systems (AREA)
Abstract
The utility model relates to an intelligent vehicle defensive driving system in a visual blind area environment, and belongs to the field of intelligent driving. The defensive driving system comprises a data acquisition unit, a blind area monitoring unit, a voice prompt unit, an autonomous decision unit, a driving control unit and a CAN bus. The data acquisition unit is communicated with the blind area monitoring unit through a CAN bus, the blind area monitoring unit is communicated with the voice prompt unit through the CAN bus, the data acquisition unit is communicated with the autonomous decision unit through the CAN bus, and the autonomous decision unit is communicated with the driving control unit through the CAN bus. The defensive driving system of the intelligent vehicle can predict the danger possibly occurring on the visual blind area road, so that defensive measures are timely taken, traffic accidents are reduced, the driving safety of the intelligent vehicle is improved, the vehicle-road cooperation technology is not relied on, and the cost is low.
Description
Technical Field
The utility model belongs to the field of intelligent driving, and particularly relates to an intelligent vehicle defensive driving system in a visual blind area environment.
Background
With the rapid increase in the amount of automobile maintenance, increasingly serious traffic safety problems are raised. Wherein, because of side parks, building, bus stop public transit stop, overpass stone pier and greenbelt etc. shelter from driver's sight, form visual blind area environment, when the condition that the pedestrian crossed the road appears in the place ahead, the driver can't in time grasp information and take measures, causes the people car crash accident, often can cause a large amount of loss of property and serious casualties, commonly referred to as "ghost probe".
Therefore, the intelligent vehicle defensive driving system under the visual blind area environment is developed, the possible danger on the visual blind area road can be predicted in advance, preventive measures can be taken timely, and traffic accidents are reduced.
Disclosure of Invention
The utility model aims to provide an intelligent vehicle defensive driving system in a visual blind area environment so as to improve the safety of vehicle driving in the visual blind area environment.
In order to solve the technical problems, the utility model provides a defensive driving system of an intelligent vehicle in a visual blind area environment, which comprises a data acquisition unit, a blind area monitoring unit, a voice prompt unit, an autonomous decision unit, a driving control unit and a CAN bus;
the CAN bus comprises a first CAN transceiver, a second CAN transceiver, a third CAN transceiver, a fourth CAN transceiver and a fifth CAN transceiver, wherein the first CAN transceiver is respectively in communication connection with the second CAN transceiver and the fourth CAN transceiver, the second CAN transceiver is in communication connection with the third CAN transceiver, and the fourth CAN transceiver is in communication connection with the fifth CAN transceiver;
the data acquisition unit comprises a first ultrasonic radar, a second ultrasonic radar, a millimeter wave radar, a vehicle-mounted camera and a speed sensor, wherein the first ultrasonic radar is arranged on a left rearview mirror of an intelligent vehicle body, the second ultrasonic radar is arranged on a right rearview mirror of the intelligent vehicle body, the millimeter wave radar is arranged at the center position of a front bumper of the intelligent vehicle, the vehicle-mounted camera is arranged on a front windshield of the intelligent vehicle, and the speed sensor is arranged on a gearbox differential of the intelligent vehicle; the first ultrasonic radar, the second ultrasonic radar, the millimeter wave radar, the vehicle-mounted camera and the speed sensor are respectively and electrically connected with the first CAN transceiver;
the blind area monitoring unit comprises a first storage module, an image processing module and a blind area identification module which are electrically connected in sequence, wherein the first storage module and the blind area identification module are respectively electrically connected with the second CAN transceiver;
the voice prompt unit comprises a voice control module which is electrically connected with the third CAN transceiver;
the autonomous decision unit comprises a second storage module, a prediction module and a decision module which are electrically connected in sequence, wherein the second storage module and the decision module are respectively and electrically connected with the fourth CAN transceiver;
the driving control unit comprises a driving control module, a braking control module and a steering control module, and the driving control module, the braking control module and the steering control module are respectively and electrically connected with the fifth CAN transceiver.
Preferably, the voice control module employs a WT88FB-8S voice chip.
Preferably, the image processing module employs an Arm Mali-C78AE processor.
Preferably, the driving control module adopts a INFINEON AURIX TC3XX microcontroller, the braking control module adopts an ATE MK60 ABS braking controller, and the steering control module adopts a DVM48S05-EPAS steering controller.
The beneficial effects of the utility model include:
1. the defensive driving system identifies a visual blind area caused by shielding of roadside obstacles through the vehicle-mounted sensor, judges the driving risk according to the running state of the vehicle, executes a corresponding defensive driving strategy, does not depend on a vehicle-road cooperation technology, and is low in implementation cost.
2. The defensive driving system can predict the possible danger on the visual blind area road, so that preventive measures can be timely taken, traffic accidents are reduced, and the driving safety of the intelligent vehicle is improved.
Drawings
FIG. 1 is a schematic diagram of a defensive driving system of an intelligent vehicle in accordance with the present utility model;
FIG. 2 is a schematic illustration of the position of the vehicle camera, ultrasonic radar and millimeter wave radar of the present utility model;
FIG. 3 is a schematic diagram of the connection of the modules in the intelligent vehicle defensive driving system of the present utility model;
Detailed Description
The present utility model will be further described with reference to the accompanying drawings and examples, but the present utility model is not limited to the following examples.
In this embodiment, the vision blind area environment is the intelligent vehicle in-process of traveling, because side parks, building, bus stop public transit stop, overpass stone pier and greenbelt etc. shelter from on-vehicle camera sight, the vision blind area of formation.
Fig. 1 is a basic structural diagram of an intelligent vehicle defensive driving system of the present utility model, fig. 2 is a schematic diagram of positions of a vehicle-mounted camera, an ultrasonic radar and a millimeter wave radar, fig. 3 is a schematic diagram of connection of each module in the intelligent vehicle defensive driving system of the present utility model, and fig. 1 to 3 show that the intelligent vehicle defensive driving system under a visual blind area environment provided by the present utility model comprises a data acquisition unit 1, a blind area monitoring unit 2, a voice prompt unit 3, an autonomous decision unit 4, a driving control unit 5 and a CAN bus 6.
The CAN bus 6 comprises a first CAN transceiver 601, a second CAN transceiver 602, a third CAN transceiver 603, a fourth CAN transceiver 604 and a fifth CAN transceiver 605, wherein the first CAN transceiver 601 is respectively in communication connection with the second CAN transceiver 602 and the fourth CAN transceiver 604, the second CAN transceiver 602 is in communication connection with the third CAN transceiver 603, and the fourth CAN transceiver 604 is in communication connection with the fifth CAN transceiver 605.
The data acquisition unit 1 comprises a first ultrasonic radar 101, a second ultrasonic radar 102, a millimeter wave radar 103, a vehicle-mounted camera 104 and a speed sensor 105, wherein the first ultrasonic radar 101 is installed on a left rearview mirror of an intelligent vehicle body, the second ultrasonic radar 102 is installed on a right rearview mirror of the intelligent vehicle body, the millimeter wave radar 103 is installed at the center position of a front bumper of the intelligent vehicle, the vehicle-mounted camera 104 is installed on a front windshield of the intelligent vehicle, and the speed sensor 105 is installed on a gearbox differential of the intelligent vehicle. The first ultrasonic radar 101, the second ultrasonic radar 102, the millimeter wave radar 103, the vehicle-mounted camera 104, and the speed sensor 105 are electrically connected to the first CAN transceiver 601, respectively.
In this embodiment, the first ultrasonic radar 101 is used to detect a distance between the object on the left side of the body of the intelligent vehicle and the body of the intelligent vehicle, the second ultrasonic radar 102 is used to detect a distance between the object on the right side of the body of the intelligent vehicle and the body of the intelligent vehicle, the millimeter wave radar 103 is used to detect a distance between the object on the front side of the intelligent vehicle and the installation position of the millimeter wave radar, the on-board camera 104 is used to collect image information of the environment in front of the intelligent vehicle, and the speed sensor 105 is used to collect the speed of the intelligent vehicle.
The blind area monitoring unit 2 comprises a first storage module 201, an image processing module 202 and a blind area identification module 203 which are electrically connected in sequence, wherein the first storage module 201 and the blind area identification module 203 are electrically connected with the second CAN transceiver 602 respectively.
In this embodiment, the image processing module 202 employs an Arm Mali-C78AE processor.
In this embodiment, the first storage module 201 is configured to store data sent by the data acquisition unit 1 through the first CAN transceiver 601 and the second CAN transceiver 602, the image processing module 202 is configured to process an image, and the blind area identifying module 203 is configured to identify a blind area state.
In this embodiment, the blind area recognition module 203 predicts the position and the motion track of the pedestrian in the blind area environment by learning the image features in the surrounding environment of the intelligent vehicle by using a target detection algorithm based on a Convolutional Neural Network (CNN).
The voice prompt unit 3 comprises a voice control module 301, which voice control module 301 is electrically connected to the third CAN transceiver 603. In this embodiment, the voice control module 301 employs a WT588F02B-8S voice chip for emitting alert voices.
The autonomous decision unit 4 comprises a second storage module 401, a prediction module 402 and a decision module 403 which are electrically connected in sequence, wherein the second storage module 401 and the decision module 403 are respectively electrically connected with the fourth CAN transceiver 604.
In this embodiment, the prediction module 402 learns the history track and the environmental information of the intelligent vehicle by using a deep learning algorithm of a Recurrent Neural Network (RNN) to predict the future driving track of the intelligent vehicle.
In this embodiment, the decision module 403 generates the optimal action policy by using a markov decision process.
The driving control unit 5 comprises a driving control module 501, a braking control module 502 and a steering control module 503, wherein the driving control module 501, the braking control module 502 and the steering control module 503 are respectively and electrically connected with the fifth CAN transceiver 605.
The drive control module 501 is configured to control an accelerator pedal opening of a vehicle, the brake control module 502 is configured to control a brake pedal opening of the intelligent vehicle, and the steering control module 503 is configured to control a steering wheel angle of the vehicle.
In this embodiment, the driving control module 501 employs a INFINEON AURIX TC XX microcontroller. In this embodiment, the brake control module 502 employs an ATE MK60 ABS brake controller. In this embodiment, the steering control module 503 employs a DVM48S05-EPAS steering controller.
Finally, the algorithms involved in the blind zone identification module 203 and the prediction module 402 and the decision process involved in the decision module 403 in the present utility model all adopt the technology mature in the art, which is not the point of the present utility model.
Claims (4)
1. The intelligent vehicle defensive driving system in the visual blind area environment is characterized by comprising a data acquisition unit (1), a blind area monitoring unit (2), a voice prompt unit (3), an autonomous decision unit (4), a driving control unit (5) and a CAN bus (6);
the CAN bus (6) comprises a first CAN transceiver (601), a second CAN transceiver (602), a third CAN transceiver (603), a fourth CAN transceiver (604) and a fifth CAN transceiver (605), wherein the first CAN transceiver (601) is respectively in communication connection with the second CAN transceiver (602) and the fourth CAN transceiver (604), the second CAN transceiver (602) is in communication connection with the third CAN transceiver (603), and the fourth CAN transceiver (604) is in communication connection with the fifth CAN transceiver (605);
the data acquisition unit (1) comprises a first ultrasonic radar (101), a second ultrasonic radar (102), a millimeter wave radar (103), a vehicle-mounted camera (104) and a speed sensor (105), wherein the first ultrasonic radar (101) is installed on a left rearview mirror of an intelligent vehicle body, the second ultrasonic radar (102) is installed on a right rearview mirror of the intelligent vehicle body, the millimeter wave radar (103) is installed at the central position of a front bumper of the intelligent vehicle, the vehicle-mounted camera (104) is installed on a front windshield of the intelligent vehicle, and the speed sensor (105) is installed on a gearbox differential of the intelligent vehicle; the first ultrasonic radar (101), the second ultrasonic radar (102), the millimeter wave radar (103), the vehicle-mounted camera (104) and the speed sensor (105) are respectively and electrically connected with the first CAN transceiver (601);
the blind area monitoring unit (2) comprises a first storage module (201), an image processing module (202) and a blind area identification module (203) which are electrically connected in sequence, wherein the first storage module (201) and the blind area identification module (203) are electrically connected with the second CAN transceiver (602) respectively;
the voice prompt unit (3) comprises a voice control module (301), and the voice control module (301) is electrically connected with the third CAN transceiver (603);
the autonomous decision unit (4) comprises a second storage module (401), a prediction module (402) and a decision module (403) which are electrically connected in sequence, wherein the second storage module (401) and the decision module (403) are respectively electrically connected with the fourth CAN transceiver (604);
the driving control unit (5) comprises a driving control module (501), a braking control module (502) and a steering control module (503), and the driving control module (501), the braking control module (502) and the steering control module (503) are respectively and electrically connected with the fifth CAN transceiver (605).
2. The intelligent vehicle defensive driving system in a blind visual environment of claim 1 wherein the speech control module (301) employs a WT588F02B-8S speech chip.
3. The intelligent vehicle defensive driving system in a blind spot environment of claim 1 wherein the image processing module (202) employs an Arm Mali-C78AE processor.
4. The intelligent vehicle defensive driving system in a blind vision environment of claim 1 wherein the drive control module (501) employs a INFINEON AURIX TC XX microcontroller, the brake control module (502) employs an ATE MK60 ABS brake controller, and the steering control module (503) employs a DVM48S05-EPAS steering controller.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202320783571.1U CN220500675U (en) | 2023-04-06 | 2023-04-06 | Intelligent vehicle defensive driving system under vision blind area environment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202320783571.1U CN220500675U (en) | 2023-04-06 | 2023-04-06 | Intelligent vehicle defensive driving system under vision blind area environment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN220500675U true CN220500675U (en) | 2024-02-20 |
Family
ID=89879194
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202320783571.1U Active CN220500675U (en) | 2023-04-06 | 2023-04-06 | Intelligent vehicle defensive driving system under vision blind area environment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN220500675U (en) |
-
2023
- 2023-04-06 CN CN202320783571.1U patent/CN220500675U/en active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107161146B (en) | A kind of highway auxiliary system | |
| CN106891890B (en) | Automobile active anti-collision system | |
| CN110155045A (en) | A kind of vehicle promptly accelerates Self-Protection Subsystem and its self-protection method | |
| CN108845327B (en) | Intelligent detection and reminding system for obstacles in view blind areas of large trucks | |
| CN102632839B (en) | Back sight image cognition based on-vehicle blind area early warning system and method | |
| CN103072537B (en) | Automotive collision avoidance safety protecting method based on infrared image processing | |
| CN102991504B (en) | Method for determining and prewarning lane change safety of drivers | |
| CN106448190B (en) | Real-time monitoring and early warning device and method for traffic flow around self-vehicle on highway | |
| CN105015548A (en) | Longitudinal collision avoidance reminding and automatic following integration system and method | |
| CN204845924U (en) | Vertically keep away to hit and remind and follow integrated system automatically | |
| CN202358094U (en) | Anti-collision system of electric motor car | |
| CN110775028A (en) | System and method for detecting automobile windshield shelters and assisting in driving | |
| CN112428954B (en) | Adaptive-adjustment doubling auxiliary device and control method | |
| CN112026761A (en) | Automobile auxiliary driving method based on data sharing | |
| CN113570747B (en) | Driving safety monitoring system and method based on big data analysis | |
| CN108407807B (en) | Steering collision avoidance system of commercial vehicle and control method thereof | |
| CN110609558A (en) | Unmanned fleet control system and control method thereof | |
| CN207579859U (en) | A kind of vehicle collision prevention system based on cognition technology | |
| KR20180064639A (en) | Vehicle and control method thereof | |
| CN113561892A (en) | Intelligent anti-collision system and method for automobile door opening | |
| CN111994075A (en) | Driving assistance method based on artificial intelligence | |
| CN202935330U (en) | Intelligent safety braking system | |
| CN113415236A (en) | Heavy-duty vehicle blind area monitoring and early warning system | |
| CN220500675U (en) | Intelligent vehicle defensive driving system under vision blind area environment | |
| CN115892029A (en) | Automobile intelligent blind area monitoring and early warning system based on driver attention assessment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |