Autonomous Driving Adaptation to Match Driver Intent
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Solution Overview
Problem
Existing autonomous driving systems fail to adapt to individual driver preferences, leading to conflicts between vehicle behavior and driver intent, necessitating manual intervention and repeated switching to meet driving requirements.
Innovation Solution
An autonomous driving system that detects driver intent through various behavioral parameters and updates its operations to align with the driver's preferences, using neural networks and feedback mechanisms to ensure compatibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If autonomous driving modes are configured with limited quantities, then the system complexity is reduced, but the adaptability to different driver requirements and driving scenarios deteriorates
Solution Approach 1:
The patent implements dynamic adaptation by enabling the autonomous driving system to automatically adjust driving modes based on real-time driver behavior detection. The system transitions from static pre-configured modes to dynamic mode selection that adapts to individual driver preferences and current driving scenarios, resolving the contradiction between limited system complexity and reduced adaptability.
Solution Approach 2:
The system employs self-service mechanisms through automatic driver behavior detection and autonomous mode adjustment. The autonomous driving system monitors driver operations, detects behavioral patterns, and automatically selects appropriate driving modes without requiring manual driver input or system reconfiguration, thereby maintaining simplicity while enhancing adaptability.
2Device complexity
If the autonomous driving system does not adjust the driving plan based on driver intent, then the system operation is simplified, but the conflict between vehicle behavior and driver intent increases
Solution Approach 1:
The patent implements feedback mechanisms by continuously monitoring driver operations and using this information to adjust the autonomous driving plan. The system detects driver intent through operational patterns and feeds this information back to modify driving behavior, ensuring alignment between vehicle actions and driver expectations while maintaining automated operation.
Solution Approach 2:
The system introduces an intermediary layer that translates driver operational patterns into adjusted driving plans. This intermediary mechanism processes driver behavior data and mediates between the autonomous driving system and driver intent, resolving conflicts without requiring direct manual intervention or complex system reconfiguration.
3Device complexity
If manual driving mode switching is required to meet driver requirements, then the autonomous driving system configuration remains simple, but the driving time efficiency deteriorates
Solution Approach 1:
The system eliminates manual mode switching by implementing self-service functionality that automatically detects driver requirements and adjusts driving modes accordingly. The autonomous driving system monitors driver operations, identifies when manual intervention would be needed, and proactively adjusts modes to prevent conflicts, thereby saving driving time without increasing system configuration complexity.
Solution Approach 2:
The system performs preliminary actions by detecting driver intent patterns before conflicts occur. By analyzing driver operational patterns in advance and pre-adjusting driving modes to match detected preferences, the system prevents conflicts before they require manual intervention, reducing unnecessary mode switching and saving driving time.
Data Source
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AI summary
A method and an apparatus for adaptively optimizing an autonomous driving system are disclosed, and are related to the field of autonomous driving technologies, to resolve a problem that a driving behavior of a vehicle controlled by an autonomous driving system conflicts with a driving intent of a driver. The method and the apparatus may be applied to an intelligent vehicle and a connected vehicle. A specific solution includes: an autonomous driving apparatus obtains a driving intent of a driver of a target vehicle (step 501); the autonomous driving apparatus detects, based on the driver's driving intent, that a conflict exists between a driving behavior of the target vehicle controlled by the autonomous driving system and the driver's driving intent (step 502); and the autonomous driving apparatus updates the autonomous driving system, so that a driving behavior of the target vehicle controlled by an updated autonomous driving system matches the driver's driving intent (step 503). The method and the apparatus are used in an autonomous driving process of a vehicle.