Automatic driving assistance system based on artificial intelligence
By collecting environmental data through an artificial intelligence system to generate a 3D model and issue warnings, the problem of scraping caused by drivers forgetting to check for vehicles behind them when changing lanes is solved, thus realizing the safety warning and collision avoidance functions of the autonomous driving assistance system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING WEITONG JUXIN TECH DEV CO LTD
- Filing Date
- 2024-01-31
- Publication Date
- 2026-04-24
AI Technical Summary
Drivers often forget to check for oncoming traffic when changing lanes, leading to minor collisions that are difficult to prevent with current technology.
The system employs an AI-based autonomous driving assistance system. It communicates with map software through an interaction module, collects environmental data to generate a 3D model through a road data acquisition module, generates driving commands through an instruction module, provides early warnings through a safety module, and handles emergencies through an intelligent assistance module to prevent scratches.
It effectively warns drivers of potential dangers when changing lanes, prevents scrapes and accidents, and improves driving safety.
Smart Images
Figure CN121912955A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of autonomous driving technology, specifically to an artificial intelligence-based autonomous driving assistance system. Background Technology
[0002] With the development of society and the economy and the improvement of people's living standards, people are using cars more and more, and intelligent driving technology has become a hot topic in social research. Intelligent driving essentially involves cognitive engineering of attention attraction and attention distraction, and mainly includes three aspects: network navigation, autonomous driving, and human intervention. The prerequisite for intelligent driving is that the vehicle we choose meets the dynamic requirements of driving, the sensors on the vehicle can obtain relevant visual and auditory signals and information, and control the corresponding follow-up system through cognitive computing;
[0003] However, during the driving process, if the driver forgets to check for oncoming vehicles when changing lanes, it is easy to cause scrapes. To address this, we propose an autonomous driving assistance system based on artificial intelligence. Summary of the Invention
[0004] The purpose of this invention is to provide an autonomous driving assistance system based on artificial intelligence.
[0005] To address the problems mentioned in the background art, the present invention provides the following technical solution: an artificial intelligence-based autonomous driving assistance system, the autonomous driving assistance system comprising an artificial intelligence system for processing vehicle planning based on surrounding environmental data and a vehicle driving system, the artificial intelligence system comprising an interaction module, a road acquisition module, an instruction module, a safety module and an intelligent assistance module;
[0006] The interaction module is mainly used to communicate with third-party map software and to identify and judge the route planning based on third-party map information;
[0007] The road acquisition module includes a data acquisition unit and a modeling unit. The data acquisition unit is mainly used to collect data around the vehicle and collect information on roads, intersections, obstacles, traffic lights, and people around the vehicle. The modeling unit preprocesses the environmental information around the vehicle from the data acquisition unit and generates a three-dimensional model.
[0008] The instruction module includes a voice recognition unit and a judgment unit. Both the voice recognition unit and the judgment unit are used to assist the driver in operating the vehicle. The instruction module generates instructions from the information recognized by the voice recognition unit and the judgment unit and transmits the instructions to the vehicle driving system.
[0009] The safety module includes an identification unit and an early warning unit. The identification unit is mainly used to identify people around the vehicle and the driver in the three-dimensional model, and to send early warning information to the vehicle's central control screen through the early warning unit.
[0010] The intelligent assistance module receives information about the vehicle's surrounding environment through the safety module and the road data acquisition module, performs corresponding simulations based on the generated instructions, and displays the results on the vehicle's central control screen and plays the in-vehicle audio.
[0011] As a further aspect of the present invention: the interaction module communicates with third-party software via 4G, and in addition to connecting with the third-party map software, the interaction module also connects with the vehicle's own GPS data.
[0012] As a further aspect of the present invention: the judgment unit confirms the driver information based on the safety module, and generates a steering duration based on the driver information driving data, using the formula:
[0013]
[0014] Where K represents the steering time, D represents the time required for the driver to steer, and the vehicle driving data is transmitted to the vehicle driving system or the vehicle central control screen according to the instructions.
[0015] As a further aspect of the present invention: the instruction module generates instructions through a speech recognition unit and a judgment unit, and uses the following formula:
[0016]
[0017] Where S represents the travel time from the vehicle behind to the vehicle itself, T1 represents the speed of the vehicle behind, and T... n This indicates the vehicle's speed, when T1-T n When <0, then T1-T n =0, where L represents the distance from the vehicle behind to the vehicle itself.
[0018] As a further aspect of the present invention: the intelligent assistance module mainly identifies and processes emergency events, and transmits vehicle driving data to the cloud through the intelligent assistance module.
[0019] As a further aspect of the present invention: the identification unit in the safety module identifies the person's face and generates a corresponding processing scheme based on the driver's status.
[0020] As a further aspect of the present invention: the vehicle driving system includes a data retrieval module, a vehicle driving module, and a vehicle parking module;
[0021] The data retrieval module is mainly used to retrieve vehicle information data from the artificial intelligence system.
[0022] The vehicle driving module is used in the artificial intelligence system to plan vehicle routes and assist vehicle driving.
[0023] The vehicle parking module is used to drive vehicles to park in designated areas.
[0024] As a further aspect of the present invention: the vehicle driving module classifies the data into driving data and safety data through the data retrieval module, processes the road, vehicle and traffic light information in the driving data, and integrates the information to generate a preferred route plan. The safety data identifies driver fatigue information through driver facial information.
[0025] As a further aspect of the present invention: after the vehicle parking module is authorized by the driver, the vehicle road acquisition module is used to identify the parking icon, simulate the vehicle parking method through the modeling unit, and transmit the data to the vehicle driving module.
[0026] Compared with the prior art, the beneficial effects of the present invention by adopting the above technical solution are as follows:
[0027] 1. This invention involves a road acquisition module collecting information about the vehicle's surroundings while the driver is driving, an interaction module transmitting the information to the map software, an instruction module classifying the planning information from the map software, and a safety module protecting the vehicle during lane changes, providing early warnings to the driver when changing lanes.
[0028] 2. This invention uses the driver's facial features for identification, which makes it easier for the identification unit to detect whether the driver has checked the rearview mirror when changing lanes. If the driver does not check the rearview mirror, the instruction module and safety module are activated to remind the vehicle to change lanes, thereby helping the driver to better prevent the vehicle from being collided while driving.
[0029] 3. This invention retrieves data from the artificial intelligence system through the vehicle driving system, and uses a safety module to assist the vehicle driving system in controlling the vehicle. It uses a modeling unit in the artificial intelligence system to simulate a three-dimensional model, and generates instructions through an instruction module. The vehicle driving module then controls the vehicle to decelerate and yield, preventing collisions when changing lanes. Attached Figure Description
[0030] Figure 1 This is a flowchart of the artificial intelligence system in an embodiment of the present invention;
[0031] Figure 2This is a flowchart of the vehicle driving system in an embodiment of the present invention. Detailed Implementation
[0032] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings. It should be noted that these descriptions are for the purpose of aiding understanding the present invention, but do not constitute a limitation thereof. Furthermore, 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.
[0033] Example 1, please refer to the appendix. Figure 1 -Appendix Figure 2 The present invention provides a technical solution: an artificial intelligence-based autonomous driving assistance system, which includes an artificial intelligence system for processing vehicle data on the surrounding environment and a vehicle driving system. The artificial intelligence system includes an interaction module, a road data acquisition module, an instruction module, a safety module and an intelligent assistance module.
[0034] The interaction module is mainly used to communicate with third-party map software and to identify and judge the routes planned from third-party map information;
[0035] The road data acquisition module includes a data acquisition unit and a modeling unit. The data acquisition unit is mainly used to collect data around the vehicle and collect information on roads, intersections, obstacles, traffic lights, and people around the vehicle. The modeling unit preprocesses the environmental information around the vehicle from the data acquisition unit and generates a 3D model.
[0036] The instruction module includes a voice recognition unit and a judgment unit. Both the voice recognition unit and the judgment unit are used to assist the driver in operating the vehicle. The instruction module generates instructions from the information recognized by the voice recognition unit and the judgment unit and transmits the instructions to the vehicle driving system.
[0037] The safety module includes an identification unit and an early warning unit. The identification unit is mainly used to identify people around the vehicle and the driver in the 3D model, and to send early warning information to the vehicle's central control screen through the early warning unit.
[0038] The intelligent assistance module receives information about the vehicle's surrounding environment through the safety module and the road data acquisition module, performs corresponding simulations based on the generated instructions, and displays the results on the vehicle's central control screen and plays the audio through the vehicle's audio system.
[0039] Please see the appendix Figure 1The interaction module communicates with third-party software via 4G. Besides connecting with third-party map software, it also connects with the vehicle's own GPS data. The judgment unit verifies the driver information based on the safety module and generates the steering time based on the driver's information and driving data, using the formula:
[0040]
[0041] Where K represents the steering time, D represents the time required for the driver to steer, and the vehicle driving data is transmitted to the vehicle driving system or the vehicle's central control screen according to the instructions. The instruction module generates instructions through the voice recognition unit and the judgment unit, and uses the following formula:
[0042]
[0043] Where S represents the travel time from the vehicle behind to the vehicle itself, T1 represents the speed of the vehicle behind, and T... n This indicates the vehicle's speed, when T1-T n When <0, then T1-T n =0, where L represents the distance from the vehicle behind to the vehicle itself;
[0044] In this embodiment, the formula is used. Where W represents the time consumed by changing lanes, H represents the vehicle's yaw angle, F represents the remaining distance between the vehicle and the road, and I represents the distance to the road. A lane change is allowed when W > S.
[0045] When in use, the road data collection module collects information about the vehicle's surroundings while the driver is driving the vehicle. The interaction module transmits this information to the map software, the instruction module categorizes the planning information from the map software, and the safety module protects the vehicle when changing lanes, providing warnings to the driver.
[0046] Example 2, please refer to the appendix. Figure 1 -Appendix Figure 2 The present invention provides a technical solution: an artificial intelligence-based autonomous driving assistance system, which includes an artificial intelligence system for processing vehicle data on the surrounding environment and a vehicle driving system. The artificial intelligence system includes an interaction module, a road data acquisition module, an instruction module, a safety module and an intelligent assistance module.
[0047] The interaction module is mainly used to communicate with third-party map software and to identify and judge the routes planned from third-party map information;
[0048] The road data acquisition module includes a data acquisition unit and a modeling unit. The data acquisition unit is mainly used to collect data around the vehicle and collect information on roads, intersections, obstacles, traffic lights, and people around the vehicle. The modeling unit preprocesses the environmental information around the vehicle from the data acquisition unit and generates a 3D model.
[0049] The instruction module includes a voice recognition unit and a judgment unit. Both the voice recognition unit and the judgment unit are used to assist the driver in operating the vehicle. The instruction module generates instructions from the information recognized by the voice recognition unit and the judgment unit and transmits the instructions to the vehicle driving system.
[0050] The safety module includes an identification unit and an early warning unit. The identification unit is mainly used to identify people around the vehicle and the driver in the 3D model, and to send early warning information to the vehicle's central control screen through the early warning unit.
[0051] The intelligent assistance module receives information about the vehicle's surrounding environment through the safety module and the road data acquisition module, performs corresponding simulations based on the generated instructions, and displays the results on the vehicle's central control screen and plays the audio through the vehicle's audio system.
[0052] Please see the appendix Figure 1 The intelligent assistance module mainly identifies and handles emergency events, and transmits vehicle driving data to the cloud through the intelligent assistance module. The recognition unit in the safety module recognizes people's faces and generates corresponding processing solutions based on the driver's status.
[0053] In this embodiment, when a vehicle approaches one side of a lane in the road, a warning unit is used to issue a warning to the vehicle.
[0054] When in use, the system uses the driver's facial features for identification. When the driver changes lanes, the identification unit checks whether the driver has checked the rearview mirror and then makes the lane change accordingly. If the driver does not check the rearview mirror, the command module and safety module are activated to remind the vehicle to change lanes, thereby assisting the driver to better prevent the vehicle from being collided while driving.
[0055] Example 3, please refer to the appendix. Figure 1 -Appendix Figure 2 The present invention provides a technical solution: an artificial intelligence-based autonomous driving assistance system, which includes an artificial intelligence system for processing vehicle data on the surrounding environment and a vehicle driving system. The artificial intelligence system includes an interaction module, a road data acquisition module, an instruction module, a safety module and an intelligent assistance module.
[0056] The interaction module is mainly used to communicate with third-party map software and to identify and judge the routes planned from third-party map information;
[0057] The road data acquisition module includes a data acquisition unit and a modeling unit. The data acquisition unit is mainly used to collect data around the vehicle and collect information on roads, intersections, obstacles, traffic lights, and people around the vehicle. The modeling unit preprocesses the environmental information around the vehicle from the data acquisition unit and generates a 3D model.
[0058] The instruction module includes a voice recognition unit and a judgment unit. Both the voice recognition unit and the judgment unit are used to assist the driver in operating the vehicle. The instruction module generates instructions from the information recognized by the voice recognition unit and the judgment unit and transmits the instructions to the vehicle driving system.
[0059] The safety module includes an identification unit and an early warning unit. The identification unit is mainly used to identify people around the vehicle and the driver in the 3D model, and to send early warning information to the vehicle's central control screen through the early warning unit.
[0060] The intelligent assistance module receives information about the vehicle's surrounding environment through the safety module and the road data acquisition module, performs corresponding simulations based on the generated instructions, and displays the results on the vehicle's central control screen and plays the audio through the vehicle's audio system.
[0061] Please see the appendix Figure 2 The vehicle driving system includes a data retrieval module, a vehicle driving module, and a vehicle parking module;
[0062] The data retrieval module is mainly used to retrieve vehicle information data from the artificial intelligence system;
[0063] The vehicle driving module is used in artificial intelligence systems to plan vehicle routes and assist vehicle driving;
[0064] The vehicle parking module is used to drive vehicles to park in designated areas;
[0065] The vehicle driving module categorizes data into driving data and safety data through the data retrieval module. It processes road, vehicle, and traffic light information in the driving data and integrates the information to generate the optimal route plan. The safety data identifies driver fatigue information through driver facial information. After driver authorization, the vehicle parking module uses the vehicle road acquisition module to identify parking icons and simulate vehicle parking methods through the modeling unit, and then transmits the data to the vehicle driving module.
[0066] In use, the vehicle driving system retrieves data from the artificial intelligence system, and the safety module assists in controlling the vehicle driving system. The modeling unit in the artificial intelligence system simulates the three-dimensional model, and the instruction module generates instructions. The vehicle driving module controls the vehicle to decelerate and yield, preventing collisions when changing lanes.
[0067] Working principle:
[0068] The first step is to collect data on the vehicle's surrounding environment through an artificial intelligence system and update the vehicle data in real time based on road conditions.
[0069] The second step involves using the intelligent assistance module and the safety module to simulate road conditions that occur when the vehicle changes roads in real time, providing corresponding solutions, and transmitting the solution data to the cloud.
[0070] The third step involves retrieving the 3D model simulation data from the modeling unit through the vehicle driving system. To prevent the vehicle from being scratched or even colliding, the vehicle driving module controls the vehicle to slow down and the steering wheel to return to center. At this point, the entire workflow is complete.
[0071] Those skilled in the art will understand that the modules or steps of the present invention described above can be implemented using general-purpose computer devices. Optionally, they can be implemented using computer-executable program code, thereby allowing them to be stored in a storage device for execution by a computer device, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. The present invention is not limited to any particular combination of hardware and software.
[0072] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various modifications and variations. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
[0073] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.
Claims
1. An artificial intelligence-based autonomous driving assistance system, characterized in that: The autonomous driving assistance system includes an artificial intelligence system for processing vehicle data on the surrounding environment and a vehicle driving system. The artificial intelligence system includes an interaction module, a road data acquisition module, an instruction module, a safety module, and an intelligent assistance module. The interaction module is mainly used to communicate with third-party map software and to identify and judge the route planning based on third-party map information; The road acquisition module includes a data acquisition unit and a modeling unit. The data acquisition unit is mainly used to collect data around the vehicle and collect information on roads, intersections, obstacles, traffic lights, and people around the vehicle. The modeling unit preprocesses the environmental information around the vehicle from the data acquisition unit and generates a three-dimensional model. The instruction module includes a voice recognition unit and a judgment unit. Both the voice recognition unit and the judgment unit are used to assist the driver in operating the vehicle. The instruction module generates instructions from the information recognized by the voice recognition unit and the judgment unit and transmits the instructions to the vehicle driving system. The safety module includes an identification unit and an early warning unit. The identification unit is mainly used to identify people around the vehicle and the driver in the three-dimensional model, and to send early warning information to the vehicle's central control screen through the early warning unit. The intelligent assistance module receives information about the vehicle's surrounding environment through the safety module and the road data acquisition module, performs corresponding simulations based on generated instructions, and displays the results on the vehicle's central control screen and plays the in-vehicle audio.
2. The autonomous driving assistance system based on artificial intelligence according to claim 1, characterized in that: The interaction module communicates with third-party software via 4G. In addition to connecting with third-party map software, the interaction module also connects with the vehicle's own GPS data.
3. The autonomous driving assistance system based on artificial intelligence according to claim 1, characterized in that: The judgment unit confirms the driver information based on the safety module and generates the steering duration based on the driver information driving data, using the formula: Where K represents the steering time, D represents the time required for the driver to steer, and the vehicle driving data is transmitted to the vehicle driving system or the vehicle central control screen according to the instructions.
4. The autonomous driving assistance system based on artificial intelligence according to claim 3, characterized in that: The instruction module generates instructions through a speech recognition unit and a judgment unit, and uses the following formula: Where S represents the travel time from the vehicle behind to the vehicle itself, T1 represents the speed of the vehicle behind, and T... n This indicates the vehicle's speed, when T1-T n When <0, then T1-T n =0, where L represents the distance from the vehicle behind to the vehicle itself.
5. The autonomous driving assistance system based on artificial intelligence according to claim 1, characterized in that: The intelligent assistance module mainly identifies and processes emergency events, and transmits vehicle driving data to the cloud through the intelligent assistance module.
6. The autonomous driving assistance system based on artificial intelligence according to claim 1, characterized in that: The safety module's recognition unit identifies the person's face and generates a corresponding processing plan based on the driver's status.
7. The autonomous driving assistance system based on artificial intelligence according to claim 1, characterized in that: The vehicle driving system includes a data retrieval module, a vehicle driving module, and a vehicle parking module; The data retrieval module is mainly used to retrieve vehicle information data from the artificial intelligence system. The vehicle driving module is used in the artificial intelligence system to plan vehicle routes and assist vehicle driving. The vehicle parking module is used to drive vehicles to park in designated areas.
8. The autonomous driving assistance system based on artificial intelligence according to claim 7, characterized in that: The vehicle driving module classifies the data into driving data and safety data through the data retrieval module. It processes the road, vehicle and traffic light information in the driving data and integrates the information to generate an optimal route plan. The safety data identifies driver fatigue information through driver facial information.
9. The autonomous driving assistance system based on artificial intelligence according to claim 7, characterized in that: After the driver authorizes the vehicle parking module, the vehicle road acquisition module identifies the parking icon, simulates the vehicle parking method through the modeling unit, and transmits the data to the vehicle driving module.