HD Map Abnormality Inference for Temporary and Permanent Road Changes
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Solution Overview
Problem
Conventional autonomous driving systems face challenges due to discrepancies between high definition maps and actual road conditions, leading to potential off-road driving or collisions with obstacles, as these maps may be outdated or incorrectly constructed.
Innovation Solution
A method and device for inferring high definition map abnormalities by analyzing road and surrounding object information, distinguishing between temporary and permanent changes, and adjusting driving controls accordingly, using a voting process to validate the map's accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous driving is performed based on a pre-loaded high definition map, then the autonomous driving system can search for routes and determine driving maneuvers, but the system may encounter map errors or outdated road conditions leading to off-road driving or collisions
Solution Approach 1:
The system performs preliminary actions by detecting map abnormalities before executing driving maneuvers. The abnormality detection unit identifies discrepancies between the high definition map and actual road conditions in advance, allowing the system to adjust its route planning and avoid dangerous situations before they occur
Solution Approach 2:
The system implements feedback mechanisms where detection results from the abnormality detection unit are fed back to the route search unit and driving maneuver determination unit. This feedback loop enables real-time adjustments to routing decisions based on detected map abnormalities, improving both safety and route accuracy
2Loss of time
If the high definition map is used for route planning, then global routes can be determined efficiently, but the system cannot adapt to temporary or permanent road changes such as construction or map errors
Solution Approach 1:
The system transitions from static map-based routing to dynamic routing by continuously detecting map abnormalities and adjusting route plans in real-time. The route search unit dynamically modifies global and local routes based on abnormality detection results, enabling adaptation to both temporary changes (construction) and permanent changes (map errors)
Solution Approach 2:
The system segments the routing process into global route planning and local route adjustment phases. The abnormality detection unit specifically monitors areas where the vehicle will travel, allowing focused adaptation without re-planning the entire route, thus maintaining efficiency while improving adaptability
3Device complexity
If the autonomous driving system trusts the high definition map completely, then the system can operate with simple control logic, but it cannot detect map errors or outdated information
Solution Approach 1:
The system introduces an intermediary abnormality detection unit that acts as a mediator between the high definition map and the route planning system. This unit verifies map accuracy by detecting abnormalities without requiring complete system redesign, maintaining relative simplicity while adding verification capability
Solution Approach 2:
The system applies partial verification by focusing abnormality detection on relevant areas (road regions where the vehicle will travel) rather than verifying the entire map. This selective approach provides sufficient accuracy verification without requiring excessive computational resources or system complexity
Data Source
AI summary
Disclosed herein high definition map abnormality inference and corresponding driving method, device and mobility apparatus. The method includes: determining an abnormality of a high definition map applied to a mobility apparatus based on at least one of road information or surrounding object information recognized in driving of the mobility apparatus; determining whether exceptional object information recognized on a road is present; determining a road condition to be a temporary change situation and determining a first driving control process of the mobility apparatus corresponding to the temporary change situation, when the abnormality of the high definition map and exceptional object information are present; and determining the road condition to be a permanent change situation and determining a second driving control process corresponding to the permanent change situation, when the abnormality of the high definition map is present and the exceptional object information is not present.