Driving Assistance System with Readiness-Based Torque Control
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Solution Overview
Problem
Existing driving assistance systems fail to accurately estimate a driver's readiness and adjust assistance accordingly, particularly when the driver's hand-release of the steering wheel or vehicle wobble occurs, leading to potential sudden changes in vehicle stability.
Innovation Solution
A driving assistance system that calculates a target steering angle based on the vehicle's traveling environment and estimates a driving readiness degree using a combination of travel state, driving operation, and environmental recognition, adjusting the proportional gain and assistance torque to match the driver's state, with the ability to change these parameters over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the control gain is adjusted based on hand-release state or vehicle wobble detection, then the driving assistance can respond to obvious driver state changes, but the system cannot detect gradual decreases in driving consciousness before sudden vehicle instability occurs
Solution Approach 1:
The system performs preliminary estimation of driving readiness degree by analyzing multiple parameters (vehicle operation patterns, travel state, driving environment) before actual vehicle instability occurs. This allows the system to predict and prepare for potential driver state changes in advance, adjusting control gain proactively rather than reactively.
Solution Approach 2:
The control gain is made dynamic by continuously updating it based on real-time estimation of driving readiness degree. The system transitions from static or event-triggered gain adjustment to continuous dynamic adjustment, allowing smooth adaptation to gradual changes in driver consciousness while maintaining stability.
2Adaptability or versatility
If the proportional gain is calculated based on driving readiness degree and vehicle speed, then the assistance torque can be optimized for different driving conditions, but the system complexity increases due to multiple recognition and calculation units
Solution Approach 1:
The driving readiness degree estimation unit serves multiple functions: it evaluates driver consciousness level, predicts potential instability, and provides input for control gain adjustment. This multi-functional approach consolidates what could be separate systems into a single integrated unit, reducing overall system complexity while maintaining adaptability.
Solution Approach 2:
The system adapts to different driving conditions by dynamically changing key parameters (driving readiness degree, proportional gain, assistance torque) rather than requiring complex structural modifications. This parameter-based adaptation allows the same hardware structure to handle diverse driving scenarios efficiently.
Data Source
AI summary
A driving assistance system includes a driving readiness degree estimation unit configured to estimate a driving readiness degree relating to a driving consciousness of the driver based on the travel state of the vehicle or the driving operation of the vehicle by the driver and the traveling environment of the vehicle, a proportional gain calculation unit configured to calculate a proportional gain based on the driving readiness degree and the speed of the vehicle, and an assistance torque calculation unit configured to calculate the assistance torque according to a value obtained by multiplying a difference between the target steering angle and the actual steering angle by the proportional gain. If the speed is constant, the proportional gain calculation unit is configured to calculate the proportional gain as a smaller value as the driving readiness degree becomes lower.