Map Shadow Data Layering for Richer Driving Navigation
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Solution Overview
Problem
Existing map content is insufficient in richness to meet the advanced requirements of intelligent driving and transportation systems, particularly in providing accurate and real-time information about shadow regions.
Innovation Solution
Incorporating shadow information into map data, including location, geometric, time, and confidence level details, to enhance map content and enable features like shadow region display, vehicle navigation, and decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If shadow information is added to map data, then map content richness is improved, but data processing complexity increases
Solution Approach 1:
The map data is segmented into multiple independent layers, with shadow information stored as a separate layer. This allows shadow data to be added without modifying the existing map data structure, reducing processing complexity while maintaining information richness.
Solution Approach 2:
The map data structure is designed with universal compatibility to accommodate multiple types of information including shadow data, geometric data, and semantic data. This multi-functional structure allows seamless integration of shadow information without increasing overall system complexity.
2Loss of information
If multiple types of shadow information are stored, then information completeness is improved, but storage requirements increase
Solution Approach 1:
Different types of shadow information (geometric, semantic, temporal) are stored with varying levels of detail based on local requirements. Not all regions or applications require the same level of information completeness, allowing optimized storage allocation.
Solution Approach 2:
The system supports dynamic adjustment of information parameters such as resolution, time granularity, and detail level. This allows storage requirements to be optimized by adjusting parameter precision based on application needs while maintaining information completeness where required.
Data Source
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AI summary
Embodiments of the present invention provide a map data processing method and apparatus, to add, to a map, a new type of map information, namely, shadow information that describes a shadow region. Embodiments of the present invention provide a plurality of optional solutions for content indicated by the shadow information and a data organization form in the map, so that the map can record at least one of a geographical location, a shape, a size, a shadow degree, a reliability degree, a formation cause, and a change with time of the shadow region. Therefore, information richness of the map is improved, and diversified application requirements can be met. Embodiments of the present invention further provide a plurality of application solutions of the shadow information, which may be applied to a plurality of scenarios such as target recognition, assisted driving, parking space searching, navigation, car hailing, solar energy charging, and laser projection.