Vehicle Deceleration Strategy Selection for Collision Risk Balancing
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Solution Overview
Problem
Existing autonomous driving systems face challenges in balancing safety and comfort, often resulting in excessive deceleration during collision avoidance, which can lead to rear-end collisions and user discomfort.
Innovation Solution
A method and apparatus for preventing entire vehicle collisions by determining collision risk coefficients and selecting appropriate deceleration strategies based on multiple thresholds, ensuring safety while minimizing excessive deceleration and maintaining user comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous driving systems apply aggressive deceleration strategies to ensure safety during collision avoidance, then collision prevention capability is improved, but user comfort deteriorates due to excessive deceleration
Solution Approach 1:
The system dynamically adjusts deceleration strategies based on real-time collision risk coefficients. It selects from multiple deceleration strategies (first, second, third) with different deceleration values, switching between them according to the calculated risk level and threshold comparisons, thereby optimizing both safety and comfort based on actual conditions
Solution Approach 2:
The system changes deceleration parameters by calculating collision risk coefficients and comparing them against thresholds. It adjusts the deceleration value selected from available strategies based on the risk assessment, enabling adaptive control that balances collision prevention with user comfort
2Reliability
If autonomous driving systems apply strong deceleration to prevent forward collisions, then forward collision avoidance is improved, but rear-end collision risk increases
Solution Approach 1:
The system performs preliminary assessment by calculating forward-backward collision risk coefficients before executing deceleration. It evaluates both forward collision risk (with preceding vehicle) and backward collision risk (with following vehicle), and selects deceleration strategies that prevent forward collisions while minimizing rear-end collision risks
Solution Approach 2:
The system uses feedback from calculated collision risk coefficients to adjust deceleration strategy selection. By continuously monitoring both forward and backward risk coefficients and comparing them against thresholds, the system selects deceleration values that achieve forward collision avoidance while maintaining acceptable rear-end collision risk levels
Data Source
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AI summary
The present disclosure provides a method and an apparatus for preventing an entire vehicle collision for a vehicle, a vehicle, and a storage medium. The method includes: determining whether a preceding vehicle of a current vehicle performs a deceleration operation; calculating, in a case that the preceding vehicle performs the deceleration operation, a collision risk coefficient between the current vehicle and the preceding vehicle; determining whether the collision risk coefficient is greater than a predetermined first threshold; calculating, in the case that the collision risk coefficient is greater than the predetermined first threshold, forward-backward collision risk coefficients of the current vehicle respectively under a first deceleration strategy, a second deceleration strategy, and a third deceleration strategy; and comparing the forward-backward collision risk coefficients with a predetermined second threshold, determining a target deceleration strategy based on a comparison result, and controlling the current vehicle to execute the target deceleration strategy.