HD Map Backup Updating for Reliable Autonomous Navigation
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Solution Overview
Problem
Autonomous vehicles rely on high-definition (HD) maps for accurate navigation and decision-making, but corrupted or outdated maps can lead to erroneous navigation and compromised safety, with existing secondary maps often containing outdated information that further compromises reliability.
Innovation Solution
A method and apparatus for enhancing HD map reliability by dynamically updating a backup HD map with significant structural feature changes from a primary HD map, ensuring up-to-date and accurate data for navigation and autonomous driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a primary HD map is used for navigation, then navigation accuracy is improved, but map corruption or outdated information compromises reliability
Solution Approach 1:
The system proactively updates the backup HD map with structural feature changes from the primary HD map before the primary map becomes corrupted or outdated. By performing the backup update in advance (preliminary action), the system ensures that when the primary map fails, an current backup is available, thus resolving the contradiction between using an accurate primary map and maintaining reliability.
Solution Approach 2:
The system creates a protective backup copy of the HD map data as a cushion against potential corruption or outdated information in the primary map. This beforehand cushioning ensures that if the primary map becomes unreliable, the navigation system can switch to the backup map, thus maintaining both navigation accuracy and reliability.
2Adaptability or versatility
If a backup HD map is maintained with outdated information, then system redundancy is improved, but navigation reliability deteriorates
Solution Approach 1:
The system performs preliminary updates to the backup HD map by applying structural feature changes from the primary map before the backup becomes outdated. This proactive approach maintains the backup map's currency while preserving system redundancy, thus resolving the contradiction between having a redundant backup system and ensuring it remains reliable for navigation.
3Reliability
If complete map updates are applied to backup HD map, then data currency is improved, but processing complexity increases
Solution Approach 1:
The system extracts only the structural feature changes from the complete map update and applies only these extracted changes to the backup HD map, rather than copying the entire updated map. This selective extraction approach maintains data currency in the backup map while significantly reducing processing complexity and data transfer requirements.
Solution Approach 2:
The system segments the complete map update into structural feature changes and applies only the relevant segment to the backup HD map. By dividing the update process and applying only the necessary structural features rather than the complete map data, the system maintains data currency while reducing processing complexity.
Data Source
AI summary
An example method for enhancing high-definition (HD) map reliability, the method performed by a User Equipment (UE) and comprising applying a map update to a primary HD map based on a received map update, responsive to updating the primary HD map being successful, determining one or more structural feature changes of the updated primary HD map that correspond to real-world structural changes represented in the primary HD map, based on a difference between the updated primary HD map and the primary HD map, and responsive to a determination of the one or more structural feature changes, updating a backup HD map by applying the one or more structural feature changes to the backup HD map. The method further comprises providing the updated primary HD map and the updated backup HD map for navigation.