Vehicle Collision Avoidance Controller Using Driver State Feedback
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Solution Overview
Problem
Advanced driver assistance systems (ADAS) face difficulties in implementing sufficient collision avoidance performance when drivers do not look forward or cannot properly cope with a crisis, as they struggle to determine the driver's collision response ability and adjust control methods accordingly.
Innovation Solution
A vehicle system that includes a controller to assess the driver's collision response ability based on signals from operating devices, determining a dangerous state and collision risk level to control steering and braking devices effectively, using sensors like cameras and radars to predict and prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the ADAS relies on common-sense crisis management ability of the driver, then the system complexity is reduced, but the collision avoidance performance deteriorates when the driver cannot properly cope with the crisis
Solution Approach 1:
The system continuously monitors driver state through multiple sensors (camera, radar, operating device signals) and uses this feedback to dynamically adjust collision avoidance control. The controller receives real-time information about driver attention, operating device usage, and vehicle state, then adjusts braking and steering control accordingly to maintain reliable collision avoidance performance regardless of driver capability
Solution Approach 2:
The controller acts as an intermediary between the driver and the vehicle's collision avoidance system. It interprets driver state and operating device signals, then mediates the control action by adjusting braking and steering force to compensate for driver inability, thereby maintaining system reliability without requiring complex driver judgment
2Measurement precision
If the ADAS determines collision avoidance control based on driver state information indicating the driver who is looking forward, then the control precision is improved, but the system becomes ineffective when the driver does not look forward
Solution Approach 1:
The system uses multiple detection methods beyond just driver eye direction. It universally monitors operating device signals (steering wheel, brake pedal, gearshifting device), driver state (camera), and vehicle state (radar) to determine collision avoidance control, ensuring effectiveness regardless of whether the driver is looking forward or not
Solution Approach 2:
The system performs preliminary assessment of driver state and operating device usage before collision occurs. By continuously monitoring these parameters in advance, the controller can prepare appropriate collision avoidance control actions and execute them immediately when needed, without relying on last-minute driver response
3Reliability
If the controller increases control amount for collision avoidance, then the collision avoidance performance is improved, but the driver's operational control is reduced
Solution Approach 1:
The controller dynamically adjusts the control amount based on real-time assessment of driver state and collision risk. When driver ability is sufficient, the controller applies minimal intervention. When driver state deteriorates or collision risk increases, the controller automatically increases braking and steering control amount, creating a dynamic balance between collision avoidance performance and driver operational control
Data Source
AI summary
A vehicle configured to perform collision avoidance control includes a steering device, a brake device, an output device, and a controller. When there is a risk of collision between the vehicle and an external object, the controller determines a dangerous state and a collision risk level according to signals received from an operating device being operated by a driver, determines a collision avoidance method, a collision avoidance time point, and a control amount for collision avoidance, based on at least one of the dangerous state and the collision risk level, and controls at least one of the steering device, the brake device, and the output device such that the vehicle performs collision avoidance control, based on the collision avoidance method, the collision avoidance time point, and the control amount for the collision avoidance.