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CN-122009074-A - Vehicle multi-element risk sensing and grading automatic taking over system and method

CN122009074ACN 122009074 ACN122009074 ACN 122009074ACN-122009074-A

Abstract

The invention discloses a vehicle multi-risk sensing and grading automatic taking over system and method, which can integrate multi-dimensional monitoring of vehicle states, driver states and environmental information through a condition recognition module, cover various dangerous scenes, break through single function limitation of the existing system, effectively cope with safety protection requirements under a composite dangerous situation, execute customized stabilization strategies for different tire burst conditions such as front left, front right and the like through accurate positioning of tire burst positions and special dynamics control models, reduce the vehicle out-of-control probability after tire burst, reduce secondary accidents, improve emergency control stability, support user-defined safety strategies, improve system applicability, pre-start response time of an air bag before collision, automatically unlock a safety belt after collision, convert passive protection into active pre-intervention, effectively reduce occupant injury degree and secondary disaster risk, and reduce occupant injury.

Inventors

  • WANG XUEFENG

Assignees

  • 烟台多中经贸有限公司

Dates

Publication Date
20260512
Application Date
20260210

Claims (10)

  1. 1. A vehicle multiple risk awareness and hierarchical autotake-over system comprising: the condition recognition module is used for monitoring the state of the vehicle, the state of the driver and the environmental information in real time, recognizing a plurality of dangerous conditions including tire burst, fatigue driving, lane departure, collision risk, pedestrian approach, misoperation, vehicle sideslip, water soaking, approaching with the vehicle, rear-end collision risk, fire disaster and collision, and carrying out risk level evaluation on the recognized dangerous conditions; The strategy execution module is used for executing a corresponding hierarchical driving taking over strategy according to the specific recognized risk type and the risk level thereof; the tire burst differentiation processing module is used for identifying a specific tire burst position and executing stability control and driving strategies corresponding to the position when tire burst occurs; the pre-safety protection module pre-activates an airbag inflation procedure when an impending collision is identified.
  2. 2. The vehicle multi-element risk sensing and grading automatic taking over system according to claim 1 is characterized in that the condition identification module comprises a multi-element risk sensing unit, a risk grading evaluation unit and a false alarm filtering unit, wherein the multi-element risk sensing unit integrates a vehicle state sensor, a driver state monitoring sensor and an environment sensing sensor to monitor the dangerous condition in real time, the risk grading evaluation unit adopts a multi-factor weight algorithm to evaluate the risk grade of the identified dangerous condition and divides the risk grade into primary risks (slight), secondary risks (medium) and tertiary risks (serious), and the false alarm filtering unit constructs a false alarm identification model through multi-sensor data fusion and time sequence analysis to reduce the false triggering rate of the system.
  3. 3. The vehicle multi-risk sensing and grading automatic taking over system according to claim 1 is characterized in that the strategy execution module comprises a grading response control unit, a multi-dimensional cooperative control unit and an execution priority management unit, wherein the grading response control unit executes a differentiated control strategy according to a risk grade, primary risks are warned by early warning, secondary risk execution parts take over, three-level risks are completely taken over, the multi-dimensional cooperative control unit integrates a steering system, a braking system, a power system and a stability control system, and the execution priority management unit is used for executing the control strategy according to a preset priority rule when a plurality of risk conditions coexist.
  4. 4. The vehicle multi-element risk sensing and grading automatic take-over system according to claim 1, wherein the tire burst differentiation processing module comprises a tire burst position accurate positioning unit and a position specific control strategy library, wherein the tire burst position accurate positioning unit accurately identifies tire burst conditions for identifying four tire positions of left front, right front, left rear and right rear through a tire pressure sensor array, and the position specific control strategy library stores special vehicle dynamics control models established for different tire burst positions.
  5. 5. The vehicle multi-risk sensing and grading automatic take-over system according to claim 1, wherein the pre-safety protection module comprises a collision prediction unit and an air bag pre-starting unit, wherein the collision prediction unit predicts the possibility of collision through a radar or camera sensor, and the air bag pre-starting unit is used for starting an air bag inflation program in advance when unavoidable collision is predicted.
  6. 6. The vehicle multiple risk awareness and hierarchical automatic take over system of claim 5 wherein the pre-safety protection module further comprises a seat belt intelligent control unit for automatically unlocking a seat belt buckle upon detection of a vehicle fire or collision.
  7. 7. The vehicle multi-risk sensing and grading automatic take-over system according to claim 1, further comprising an intelligent early warning module for activating the lamp to flash in advance when the collision risk is predicted, and the intelligent early warning module comprises a pre-collision early warning unit for activating the lamp to flash in advance when the collision risk is predicted.
  8. 8. The vehicle multi-risk sensing and grading automatic take-over system according to claim 1 is characterized by further comprising an emergency communication module, wherein the emergency communication module is used for automatically sending vehicle state information to a vehicle call platform after a vehicle is collided or in the dangerous situation, the emergency communication module comprises an accident detection unit, a multi-channel communication unit and an information sending unit, the accident detection unit is used for comprehensively judging that an accident has occurred through an acceleration sensor, a collision sensor and an airbag triggering signal, the multi-channel communication unit is used for effectively transmitting emergency information, and the information sending unit is used for automatically collecting vehicle state data, accident scene pictures/videos and GPS position information and sending the vehicle state data, the accident scene pictures/videos and the GPS position information to the vehicle call platform.
  9. 9. The vehicle multiple risk awareness and hierarchical auto-takeover system of claim 1 further comprising a manual configuration interface that allows a user to manually enable or disable specific takeover conditions based on different driving scenarios and support condition combination triggers.
  10. 10. A vehicle multiple risk perception and classification automatic takeover method comprising the vehicle multiple risk perception and classification automatic takeover system according to any of claims 1-9, characterized by the steps of: Step 1, multiple risk perception and grading evaluation, namely acquiring vehicle state data, driver state data and environment perception data in real time through a vehicle state sensor, a driver state monitoring sensor and an environment perception sensor, identifying multiple dangerous conditions including tire burst, fatigue driving, lane departure, collision risk, pedestrian approach, misoperation, vehicle sideslip, water soaking, approaching a vehicle, rear-end collision risk, fire and collision, grading the dangerous conditions through a risk grading evaluation unit by adopting a multi-factor weight algorithm to obtain primary risk (slight), secondary risk (medium-grade) and tertiary risk (serious), and filtering false alarm information in the dangerous conditions through a false alarm identification model constructed through multiple sensor data fusion and time analysis through a false alarm filtering unit; Step 2, executing a grading response strategy by a grading response control unit according to the risk grade, wherein the grading response control unit is used for sending an early warning prompt to a driver when a first grade risk exists, executing a part of driving takeover when a second grade risk exists, intervening a vehicle part of control system, executing a complete driving takeover when a third grade risk exists, comprehensively controlling the vehicle control system, integrating a steering system, a braking system, a power system and a stable control system by a multi-dimensional cooperative control unit, and executing a corresponding control strategy by an execution priority management unit according to a preset priority rule when a plurality of risk conditions exist simultaneously; Step 3, tire burst differentiation processing, namely when tire burst dangerous conditions are identified, a tire burst position accurate positioning unit accurately identifies tire burst positions of left front tires, right front tires, left rear tires and right rear tires by adopting a tire pressure sensor array; When the accident is identified, vehicle state data, accident scene pictures/videos and GPS position information are automatically acquired through an emergency communication module and sent to a vehicle calling platform; And 5, user interaction configuration, namely allowing a user to manually enable or disable specific takeover conditions according to different driving scenes through a manual configuration interface, and supporting condition combination triggering setting.

Description

Vehicle multi-element risk sensing and grading automatic taking over system and method Technical Field The invention relates to the technical field of vehicle safety, in particular to a vehicle multi-element risk sensing and grading automatic taking over system and method. Background Automotive safety systems are mainly divided into two aspects, one being active safety systems and the other being passive safety systems. In short, active safety is to avoid an accident, while passive safety is to protect members in a car or to protect a crashed car or a pedestrian when an accident occurs. At present, the vehicle safety system focuses on single-function auxiliary driving or passive safety, such as lane keeping, collision early warning and the like, and lacks comprehensive judgment and intelligent taking over mechanisms for various complex dangerous situations. Especially under the compound dangerous scene such as tire burst, sudden illness of a driver, extreme weather, and the like, the existing system cannot realize a targeted and differentiated emergency driving strategy, and cannot realize multi-condition manual configurable flexible safety strategy management. Therefore, the invention provides a vehicle multi-element risk sensing and grading automatic taking over system and a method. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a vehicle multi-element risk sensing and grading automatic taking over system and a method thereof, so as to solve the problems. In order to achieve the purpose, the invention is realized by the following technical scheme that the vehicle multi-element risk sensing and grading automatic take-over system comprises: the condition recognition module is used for monitoring the state of the vehicle, the state of the driver and the environmental information in real time, recognizing a plurality of dangerous conditions including tire burst, fatigue driving, lane departure, collision risk, pedestrian approach, misoperation, vehicle sideslip, water soaking, approaching with the vehicle, rear-end collision risk, fire disaster and collision, and carrying out risk level evaluation on the recognized dangerous conditions; The strategy execution module is used for executing a corresponding hierarchical driving taking over strategy according to the specific recognized risk type and the risk level thereof; the tire burst differentiation processing module is used for identifying a specific tire burst position and executing stability control and driving strategies corresponding to the position when tire burst occurs; the pre-safety protection module pre-activates an airbag inflation procedure when an impending collision is identified. The condition identification module comprises a multi-element risk sensing unit, a risk grading evaluation unit and a false alarm filtering unit, wherein the multi-element risk sensing unit integrates a vehicle state sensor, a driver state monitoring sensor and an environment sensing sensor to monitor the dangerous condition in real time, the risk grading evaluation unit adopts a multi-factor weight algorithm to evaluate the risk grade of the identified dangerous condition and divides the risk grade into primary risk (slight), secondary risk (medium) and tertiary risk (serious), and the false alarm filtering unit constructs a false alarm identification model through multi-sensor data fusion and time sequence analysis to reduce the false triggering rate of the system. The strategy execution module comprises a grading response control unit, a multi-dimensional cooperative control unit and an execution priority management unit, wherein the grading response control unit executes a differential control strategy according to a risk grade, a primary risk adopts early warning reminding, a secondary risk execution part takes over, and three-level risk implementation is completely taken over, the multi-dimensional cooperative control unit integrates a steering system, a braking system, a power system and a stable control system to realize transverse, longitudinal and vertical three-dimensional cooperative control, and the execution priority management unit is used for executing the control strategy according to a preset priority rule when a plurality of risk conditions coexist. The tire burst differentiation processing module comprises a tire burst position accurate positioning unit and a position specificity control strategy library, wherein the tire burst position accurate positioning unit accurately identifies tire burst conditions for identifying four tire positions of left front, right front, left rear and right rear through a tire pressure sensor array, and the position specificity control strategy library stores special vehicle dynamics control models established for different tire burst positions. The pre-safety protection module comprises a collision prediction unit and an air bag pre-starting unit, wherein the collision predictio