一种车前地形的坡度估计方法以及装置
By combining the ray diffraction method and singular value decomposition method for slope estimation, the problem of slope estimation error in autonomous vehicles under complex environments is solved, and high-precision slope detection is achieved in scenarios such as large open-pit mines, thereby improving the vehicle's balance and operational stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING MECHANICAL EQUIP INST
- Filing Date
- 2022-05-07
- Publication Date
- 2026-07-17
AI Technical Summary
Existing slope estimation methods suffer from problems such as local point cloud missegmentation and insufficient obstacle removal capabilities in autonomous driving environments, especially in complex environments such as large open-pit mines, which affect vehicle balance and the operation of heavy-duty mining trucks.
By combining the ray diffraction method and singular value decomposition method, a planar model of the vehicle path is generated through preset slope threshold and point cloud clipping. Slope points are then separated and extracted to achieve slope estimation.
In unstructured road scenarios, the accurate extraction of point clouds with slopes improves the accuracy and robustness of slope estimation, reduces obstacle interference, and enhances the environmental perception capabilities of autonomous vehicles.
Smart Images
Figure CN114820943B_ABST