Vehicle Path Control Using Real-Time Map Coordinate Matching
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Solution Overview
Problem
Existing autonomous driving systems require updating the matching table when general maps are updated, which is inefficient and resource-intensive.
Innovation Solution
A vehicle control device and method that maps a general map and a precision map independently, using the coordinates of the general map in real time to select local paths without updating the matching table, by determining and controlling the vehicle based on the comparison of coordinates between the general and precision maps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the matching table is updated when the general map is updated, then the path matching accuracy is maintained, but the system complexity and resource consumption increase
Solution Approach 1:
The patent extracts the coordinate information from the general map and uses it directly for path matching without requiring the matching table to be updated. The vehicle control device obtains coordinates of the general map, determines a global path, then obtains coordinates of local paths from the precision map, and selects the appropriate local path by comparing coordinate differences, thereby eliminating the need for matching table updates
Solution Approach 2:
The patent introduces coordinate comparison as an intermediary mechanism between the general map and precision map. Instead of directly updating the matching table, the system uses coordinate data from both maps as an intermediary to determine path correspondence, calculating the difference between general map coordinates and precision map coordinates to select the appropriate local path
2Measurement precision
If the matching table is updated when the general map is updated, then the path matching accuracy is maintained, but the time consumption and efficiency decrease
Solution Approach 1:
The patent performs preliminary actions by obtaining and storing coordinate information from the general map before path matching is needed. When path matching is required, the system directly uses the pre-obtained coordinates to compare with precision map coordinates, eliminating the time-consuming process of updating the matching table
Solution Approach 2:
The patent extracts only the necessary coordinate information from the general map for path matching purposes, rather than updating the entire matching table. This selective extraction of coordinate data significantly reduces the time required for path matching operations
3Adaptability or versatility
If the general map and precision map are mapped using coordinate comparison in real time, then the adaptability to map updates is improved, but the computational complexity increases
Solution Approach 1:
The patent applies partial action by comparing coordinates only at key points along the global path to identify corresponding local paths, rather than performing exhaustive coordinate comparisons across the entire map. The system calculates coordinate differences at selected points to determine the best matching local path, reducing overall computational complexity
Data Source
AI summary
A vehicle control device includes a processor and memory. The processor may determine, based on a first map, a global path along which a vehicle is to travel, determine, based on a second map associated with the global path and while the vehicle is traveling along the global path, a plurality of local paths associated with the global path, wherein the second map has higher precision than the first map, select, based on a comparison between a plurality of coordinates of the global path and a plurality of coordinates of the plurality of local paths, at least one local path of the plurality of local paths, and control, based on the at least one precise local path, the vehicle.