Obstacle detection method and device
CN112712009BActive Publication Date: 2025-02-28BEIJING SANKUAI ONLINE TECH CO LTD
Patent Information
- Application Number
- CN202011582826.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2020-12-28
- Publication Date
- 2025-02-28
- Estimated Expiration
- 2040-12-28
AI Technical Summary
Technical Problem
In the field of unmanned driving, the correlation between the obstacle data detected by lidar and cameras is inaccurate, resulting in errors in the matching of obstacles or missed associations, affecting the safe driving of the equipment.
Method used
By obtaining point cloud data and image data for the specified device, the similarity of each obstacle is calculated and matched according to the comprehensive similarity, ensuring the full correlation of obstacles between different data sources.
Benefits of technology
Improve the accuracy of obstacle matching, ensure that unmanned driving equipment can drive safely, and reduce misjudgment and missed judgments.
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Smart Images

Figure CN112712009B_ABST
Abstract
This specification discloses a method and device for obstacle detection, which obtains point cloud data and image data corresponding to a designated device at the current moment. For each first obstacle involved in the image data, the similarity between the first obstacle and each obstacle involved in the point cloud data is determined as the first similarity, and for each second obstacle involved in the point cloud data, the similarity between the second obstacle and each obstacle involved in the image data is determined as the second similarity. Then, based on the determined first similarity and second similarity, a first matching result between each obstacle involved in the image data and each obstacle involved in the point cloud data is determined. Finally, based on the first matching result, obstacles located around the designated device at the current moment are detected. This method can improve the accuracy of obstacle matching, thereby making the obstacle detection result more accurate and reasonable.
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Citation Information
Patent Citations
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