Vehicle Control Device for Adaptive Automatic Driving
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Solution Overview
Problem
Existing automatic driving technologies fail to ensure safe and smooth vehicle travel when peripheral conditions differ between manual and automatic driving modes, as they rely solely on learned driving characteristics without considering the vehicle's peripheral state.
Innovation Solution
A vehicle control device that switches between manual and automatic driving modes, featuring a vehicle control planning unit that plans a traveling plan based on learned driving characteristics and verification results, including a verification unit to assess the vehicle's state and adjust the plan accordingly to maintain safe and smooth travel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If driving characteristics learned during manual driving are used for automatic driving control, then the driver's personal driving style is preserved, but safe and smooth traveling cannot be ensured when peripheral conditions differ between manual and automatic driving modes
Solution Approach 1:
The verification unit continuously monitors the actual traveling state and compares it with the planned traveling state, providing feedback to the control unit. When discrepancies indicating unsafe conditions are detected (such as unexpected vehicle peripheral states), the system adjusts the driving characteristics in real-time to maintain safety while preserving the driver's preferred driving style under normal conditions.
Solution Approach 2:
The system dynamically adjusts driving characteristics based on current peripheral conditions. Instead of using fixed learned characteristics, the control unit modifies acceleration, deceleration, and steering parameters in real-time based on verification results from the verification unit, allowing the system to adapt to changing environments while maintaining the driver's driving style preferences.
2Device complexity
If fixed driving characteristics are used for automatic driving, then control simplicity is maintained, but the system cannot adapt to different vehicle peripheral states
Solution Approach 1:
The verification unit automatically monitors and verifies the traveling state without requiring driver intervention. The system self-adjusts by comparing actual state with planned state and autonomously modifies driving characteristics when safety issues are detected, maintaining simplicity for the driver while providing adaptive capabilities.
3Ease of operation
If driving characteristics are adjusted to match driver's manual driving style, then driver satisfaction is improved, but the system may perform unsafe maneuvers when peripheral conditions differ from learning conditions
Solution Approach 1:
The verification unit performs preliminary verification of the planned traveling state before execution. By predicting potential unsafe conditions based on current peripheral state and comparing with learned driving characteristics, the system prevents unsafe maneuvers from occurring in the first place, allowing aggressive driving styles to be maintained when safe while blocking them when dangerous.
Data Source
AI summary
The present invention addresses the problem of performing automatic driving in accordance with driving characteristics of a driver while considering a vehicle peripheral state, even in the case where the vehicle peripheral state during manual driving is different from the vehicle peripheral state during the automatic driving. The present invention is a vehicle control device 120 that can switch between manual driving in which a vehicle is caused to travel by the operation of a driver and automatic driving in which the vehicle is caused to travel automatically in accordance with a traveling plan. The vehicle control device 120 is provided with a vehicle control planning unit 123 that devises the traveling plan, and a verification unit 124 that verifies a vehicle traveling state on the basis of the traveling plan. The vehicle control device 120 devises the traveling plan in accordance with learning related to driving characteristics of the driver during the manual driving, and the result of learning related to the verification result from the verification unit 124.