Autonomous Driving Mode Selection Using Map Data Priority
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Solution Overview
Problem
Existing autonomous driving devices can only execute one autonomous driving mode when map data is insufficient, limiting their ability to adapt to varying environmental conditions and data requirements across different modes.
Innovation Solution
An autonomous driving device that records different types of content for each position on a map, allowing it to select and prioritize executable autonomous driving modes based on the type of content available, using sensors when map data is sparse or unreliable, and avoiding mode switching by selecting commonly executable modes across consecutive positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the device executes only one autonomous driving mode when map data is insufficient, then the device can maintain simple control logic, but the device loses adaptability to varying environmental conditions and data requirements
Solution Approach 1:
The system dynamically selects autonomous driving modes based on real-time evaluation of map data sufficiency and environmental conditions. The selection unit switches between multiple executable modes (e.g., LIDAR-based mode, camera-based mode) depending on which sensor data is more reliable in the current context, making the system adaptable without requiring complex static control logic for each scenario
Solution Approach 2:
The system changes operational parameters by selecting different autonomous driving modes based on data quality parameters. When map data is insufficient, the selection unit evaluates sensor data quality and switches to modes that rely more on real-time sensor input rather than pre-recorded map data, effectively adapting to varying environmental conditions through parameter adjustment
2Adaptability or versatility
If the device has multiple executable autonomous driving modes, then the device can adapt to different data requirements, but the device cannot determine which mode to execute
Solution Approach 1:
The selection unit continuously evaluates the sufficiency of map data and the quality of sensor data as feedback, then selects the appropriate autonomous driving mode based on this evaluation. This feedback mechanism automatically determines which mode to execute by comparing data quality metrics, eliminating the need for manual mode selection while maintaining adaptability to different data requirements
Solution Approach 2:
The system performs self-service by automatically selecting the appropriate autonomous driving mode based on its own evaluation of data quality and environmental conditions. The selection unit independently determines which mode is most suitable without external intervention, enabling the device to handle different data requirements autonomously
3Productivity
If the device switches modes frequently, then the device can optimize performance for current conditions, but the device experiences instability in control
Solution Approach 1:
The system performs preliminary evaluation of map data sufficiency and sensor data quality before mode selection. By assessing data quality in advance and selecting modes proactively rather than reactively, the system avoids frequent switching and maintains control stability while still optimizing performance for current conditions
Data Source
AI summary
An autonomous driving device includes a map recording a content having different type for each position while one or a plurality of contents and positions are associated with each other, an acquisition unit acquiring the content corresponding to a first position on the map, a specification storage unit storing a plurality of autonomous driving modes of the vehicle and the type of content necessary for the execution of the modes in association with each other, a selection unit selecting an executable autonomous driving mode based on the type of content acquired by the acquisition unit and the type of content stored in the specification storage unit, and a control unit controlling the vehicle at the first position in the selected autonomous driving mode, the selection unit determines one autonomous driving mode based on an order of priority set in advance when there is a plurality of executable autonomous driving modes.