Autonomous Driving Control System Map Accuracy Sensor Coverage
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Solution Overview
Problem
Autonomous driving systems face challenges in providing real-time information about available autonomous driving levels and surrounding environments to drivers, making it difficult for them to switch vehicle control in unexpected situations, especially when autonomous driving is partially used.
Innovation Solution
An autonomous driving control system and method that determines map accuracy and sensor coverage to recommend driving paths with indicated autonomous driving levels, providing real-time updates to drivers on the current and predicted autonomous driving levels, allowing them to prepare for control switches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous driving is partially used, then the system complexity is reduced, but the driver cannot receive information about unexpected situations and cannot switch vehicle control in time
Solution Approach 1:
The system continuously provides feedback to the driver about the current autonomous driving level, map accuracy, and sensor coverage status. This includes real-time notifications when the autonomous driving level changes or when unexpected situations are detected, enabling the driver to maintain situational awareness and switch control appropriately.
Solution Approach 2:
The system performs preliminary actions by pre-notifying the driver about upcoming changes in autonomous driving level or potential unexpected situations before they occur. This allows the driver to prepare for control switching in advance, reducing reaction time and improving safety.
2Measurement precision
If map accuracy is low, then the system cost is reduced, but the available autonomous driving level is limited
Solution Approach 1:
The system dynamically adjusts the autonomous driving level based on the map accuracy parameter. When map accuracy is insufficient, the system automatically reduces the autonomous driving level to appropriate stages, ensuring safe operation while still providing useful driver assistance functions. This parameter-based adaptation allows the system to optimize performance for different map quality conditions.
3Device complexity
If sensor coverage is insufficient, then the device complexity is reduced, but the autonomous driving level for each section cannot be determined
Solution Approach 1:
The system determines autonomous driving levels on a local section-by-section basis rather than uniformly across all areas. Each road section is evaluated independently based on the actual sensor coverage and environmental conditions, allowing the system to provide autonomous driving functionality where sensors are sufficient while maintaining safety in areas with limited coverage.
Data Source
AI summary
An autonomous driving control method of a vehicle is provided. The method includes recognizing accuracy of a map within the vehicle and determining an available autonomous driving level. Sensor coverage of the vehicle is recognized and an available autonomous driving level for each section among the available autonomous driving levels is determined. A path with autonomous driving level indicated thereon among driving paths is then recommended according to a destination set in the map, and autonomous driving level calculation information is updated in real-time according to a selected path and autonomous information is provided to a driver.