Adaptive ACC Control Parameter Customization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Advanced driver assistance systems, such as adaptive cruise control, are calibrated with predefined settings that may not align with individual driver preferences, leading to discomfort and frustration as some drivers find the systems initiate braking too late or accelerate too aggressively or conservatively.
Innovation Solution
The implementation of a learning mode in the advanced driver assistance system that allows drivers to provide feedback on the vehicle's control aggressiveness, enabling the system to adjust and customize control parameters such as time gaps, acceleration, and deceleration profiles to match the driver's comfort level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single predefined tuning is used for ACC, then the system is simple to manufacture and operate, but it cannot satisfy individual driver comfort preferences
Solution Approach 1:
The patent segments the control parameters into multiple independent dimensions (acceleration rate, deceleration rate, time gap, reaction time) that can be individually adjusted. This allows the system to offer customized tuning without requiring a complete redesign of the control architecture, thereby increasing adaptability while managing complexity through modular parameter adjustment
Solution Approach 2:
The system transitions from static predefined tuning to dynamic adaptive tuning by introducing learning modes that adjust parameters in real-time based on driver feedback. The control parameters become dynamic variables that evolve with driver interaction, enabling the system to adapt to individual preferences without fixed configuration
2Productivity
If the ACC function is calibrated with aggressive acceleration and late braking, then productivity is improved, but driver comfort deteriorates
Solution Approach 1:
The patent implements multiple parameter change options that allow drivers to select between aggressive (higher productivity) and comfortable (lower productivity) tuning profiles. Key parameters such as acceleration rate, deceleration rate, and time gap can be adjusted to different values, enabling the system to optimize for either productivity or comfort based on driver preference
Solution Approach 2:
The system allows dynamic switching between different control aggressiveness levels through learning modes. Drivers can transition from aggressive parameter settings to comfortable settings as the system learns their preferences, enabling flexible adaptation between productivity-oriented and comfort-oriented operation
3Adaptability or versatility
If the ACC function uses fixed time gaps and acceleration profiles, then device complexity is reduced, but adaptability to different driving situations deteriorates
Solution Approach 1:
The patent divides the control system into separable parameter modules (time gap, acceleration profile, deceleration profile, reaction time) that can be independently customized. This segmentation allows drivers to adjust individual parameters without affecting others, providing situational adaptability while maintaining manageable system complexity through modular configuration
Solution Approach 2:
The system achieves multi-functionality by incorporating multiple learning modes (comfort mode, sport mode, custom mode) that can handle different driving situations with a single unified control architecture. This universal approach allows the same base system to adapt to various driving scenarios without requiring separate specialized systems for each situation
Data Source
AI summary
Methods and systems for adapting an advanced driver assistance driving system of a vehicle. One system includes an electronic processor of an advanced driver assistance driving system. The electronic processor is configured to control the vehicle using a control parameter of the advanced driver assistance driving system. The electronic processor is also configured to activate a learning mode for the advanced driver assistance driving system and receive feedback associated with the control of the vehicle. The electronic processor is also configured to adjust the control parameter of the advanced driver assistance driving system based on the feedback and control the vehicle using the adjusted control parameter.