Path planning method and device, storage medium and electronic equipment
By dividing the global environment into local environments and calculating the number of adaptive sampling points, the path planning method for autonomous vehicles is generated, and the problems of long calculation time and large performance overhead of path planning algorithms in the existing technology are solved, achieving more efficient and flexible path planning.
Patent Information
- Application Number
- CN202411280684.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-12
- Publication Date
- 2025-01-03
- Estimated Expiration
- 2044-09-12
AI Technical Summary
The existing path planning algorithm has a long calculation time and high performance overhead under different environmental complexities, making it difficult to efficiently generate the driving path of autonomous vehicles.
By dividing the global environment into multiple local environments, calculating the number of sample points matching the local environment, and generating pass points in the local environment, generating multiple global paths, thereby determining the target driving path of the driving task. The method includes determining the starting point and end point of the local environment, calculating the length and area of the obstacle, calculating the number of sampling points based on these parameters, and avoiding the prohibited area when generating the passing point, and finally comprehensively considering the cost of multiple global paths to choose the most Optimize the path.
It reduces the redundant settings of the passing points, improves the quality of the passing points, reduces the dependence on the global environment, shortens the algorithm running time, improves the efficiency and flexibility of path planning, and generates better paths.
Smart Images

Figure CN119245671A_ABST
Abstract
Citation Information
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