Autonomous Vehicle Map Validation Under GPS Signal Loss
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Solution Overview
Problem
Existing map data processing systems for autonomous vehicle navigation may update maps incorrectly due to discrepancies between map data and actual road conditions, especially when satellite signals are unavailable, leading to potential safety issues and inaccurate navigation.
Innovation Solution
A map information system that includes a vehicle equipped with sensors to detect its environment and a controller to determine if map information matches the actual surroundings, notifying a map server for updates when discrepancies are found, allowing for improved accuracy in determining when map updates are necessary, and utilizing redundant positioning methods to ensure safe autonomous travel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the map database is updated based on vehicle sensor data, then the map information can be kept current, but incorrect updates may occur when satellite signals are unavailable
Solution Approach 1:
The system performs preliminary validation by checking satellite signal availability before processing map update data. When signals are unavailable, the system proactively identifies and flags potential positioning errors, preventing incorrect map updates before they occur.
Solution Approach 2:
The system implements feedback mechanisms where vehicle positioning data is continuously validated against map database information. When discrepancies are detected due to signal loss, the feedback loop triggers alerts and prevents automatic updates, allowing for manual verification.
2Productivity
If automatic map updating is executed based on vehicle data, then map freshness is improved, but determination accuracy decreases due to signal loss conditions
Solution Approach 1:
The system introduces an intermediary validation layer that sits between automatic map updating and the actual update execution. This intermediary checks satellite signal status and positioning reliability, acting as a gatekeeper that prevents inaccurate updates while allowing efficient automatic updates when conditions are favorable.
Solution Approach 2:
Before executing automatic map updates, the system performs preliminary checks on satellite signal availability and positioning accuracy. This preliminary action ensures that only high-quality data triggers updates, maintaining determination accuracy while preserving update efficiency.
3Device complexity
If the vehicle uses single positioning method, then the system complexity is reduced, but the reliability of autonomous travel control decreases
Solution Approach 1:
The system applies local quality by implementing redundant positioning methods selectively based on environmental conditions. When satellite signals are available, the primary GPS method is used. When signals are lost or reliability is questionable, alternative positioning methods are activated locally at the affected positions, maintaining overall system reliability without universally increasing complexity.
Data Source
AI summary
A map information system includes: a vehicle configured to store at least one piece of map information and travel autonomously based on the map information; and a map server configured to provide the vehicle with the map information, wherein the vehicle includes: an external environment sensor configured to acquire surrounding information on the vehicle; and a controller configured to store the map information and execute travel control to cause the vehicle to travel autonomously, the controller is configured to determine whether the travel control based on the map information and the surrounding information can be executed based on whether the map information matches the surrounding information, and the controller notifies the map server of a position of the vehicle and notifies the map server that the map information should be updated upon determining that the travel control cannot be executed.