Driver-State Collision Avoidance Timing for Driver Comfort
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Solution Overview
Problem
Existing vehicle collision avoidance assist systems face challenges in determining the optimal timing for initiating collision avoidance controls without causing discomfort to the driver, while also ensuring effective avoidance of collisions.
Innovation Solution
The system determines the probability of the driver's ability to avoid a collision based on their grasping state of the steering wheel and consciousness state, adjusting the start timing of collision avoidance controls accordingly to ensure effective collision avoidance without driver discomfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the collision avoidance control is started at an early time, then the collision avoidance effectiveness is improved, but the driver discomfort increases
Solution Approach 1:
The patent applies dynamics by making the collision avoidance start timing adjustable based on driver state. The system dynamically determines the start timing according to the driver's grasping state of the steering wheel and consciousness state, rather than using a fixed timing. This allows the system to adapt the intervention timing to match the driver's actual capability to perform avoidance maneuvers, thereby resolving the contradiction between early intervention effectiveness and driver comfort.
Solution Approach 2:
The patent changes the parameter of collision avoidance start timing based on detected driver states. By monitoring the driver's grasping state and consciousness state, the system adjusts the timing parameter dynamically - starting earlier when the driver is unable to respond and later when the driver is capable of self-avoidance. This parameter adjustment resolves the contradiction by optimizing the timing based on actual driver capability.
2Object-affected harmful factors
If the collision avoidance control is started at a late time, then the driver comfort is improved, but the collision avoidance effectiveness decreases
Solution Approach 1:
The system dynamically adjusts the collision avoidance start timing based on real-time detection of driver state. When the driver is detected to be in a state capable of self-avoidance (proper grasping and consciousness), the system delays the start timing to improve comfort. When the driver is unable to respond, the system advances the timing to ensure effectiveness. This dynamic adjustment resolves the contradiction between comfort and effectiveness.
Solution Approach 2:
The patent implements feedback by continuously monitoring the driver's grasping state and consciousness state, then using this information to determine the appropriate collision avoidance start timing. The system receives feedback from sensors detecting driver state and adjusts the control timing accordingly, ensuring both driver comfort and collision avoidance effectiveness are optimized based on actual driver capability.
3Measurement precision
If the driver is monitored to determine collision self-avoidance probability, then the collision avoidance timing accuracy is improved, but the system complexity increases
Solution Approach 1:
The patent replaces complex mechanical or invasive monitoring systems with sensor-based detection methods. The grasping state is detected using sensors that sense the presence and position of the driver's hands on the steering wheel, and the consciousness state is detected using cameras or other non-invasive sensors. This substitution achieves high measurement precision for timing accuracy while keeping the system relatively simple and non-intrusive.
Solution Approach 2:
The system uses the driver's own actions and states (natural grasping of the steering wheel, natural consciousness levels) as the monitoring basis. The driver's existing behaviors serve as the feedback mechanism, eliminating the need for additional complex monitoring equipment or procedures. This self-service approach achieves accurate timing determination without significantly increasing system complexity.
Data Source
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AI summary
A vehicle collision avoidance assist apparatus (10) executes a collision avoidance control for avoiding a collision of an own vehicle (100) with an object (200) ahead of the own vehicle (100). The apparatus (10) determines whether a driver of the own vehicle (100) has a collision self-avoidance probability that the driver can avoid a collision of the own vehicle (100) with the object (200) ahead of the own vehicle (100) by carrying out a driving operation to the own vehicle (100). When the apparatus (10) determines that the driver does not have the collision self-avoidance probability, the apparatus sets a start timing to startexecuting the collision avoidance control to a timing earlier than the start timing set when the apparatus (10) determines that the driver has the collision self-avoidance probability.