Positioning method, apparatus, device, and storage medium
By combining and correcting radar point cloud data and satellite observation data, the problem of insufficient positioning accuracy and robustness of mobile devices has been solved, achieving higher positioning accuracy and stability.
CN117250647BActive Publication Date: 2026-07-17TENCENT TECHNOLOGY (SHENZHEN) CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TENCENT TECHNOLOGY (SHENZHEN) CO LTD
- Filing Date
- 2022-06-09
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
In existing technologies, the positioning accuracy of mobile devices is limited by the quality of observation data, resulting in inaccurate positioning and poor robustness, making it difficult to meet practical needs.
Method used
By combining point cloud data scanned by radar with observation data received by satellite positioning equipment, data fusion and correction are performed in multiple ways to obtain target positioning results, reducing reliance on the quality of a single data source.
Benefits of technology
It improves the accuracy and robustness of positioning, and can obtain relatively accurate target positioning results even when the data quality is poor, thus meeting actual positioning needs.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN117250647B_ABST
Abstract
The application discloses a positioning method, device, equipment and storage medium, and belongs to the navigation technical field. The method comprises the following steps: acquiring point cloud data scanned by a radar installed on a mobile device, positioning the mobile device by using the point cloud data, and obtaining a first positioning result; acquiring first observation data received by a satellite positioning device installed on the mobile device, and acquiring a target positioning result of the mobile device based on the first observation data and the first positioning result. This positioning method weakens the dependence on any one of the point cloud data and the first observation data, and even in the case that the quality of the point cloud data or the first observation data is poor, a more accurate target positioning result can be obtained by additionally considering the other kind of data, the positioning robustness is good, and the positioning demand can be met. Exemplarily, the embodiments of the application can be applied to the transportation field, the map field and the vehicle-mounted scene.
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