Method, device, electronic device and storage medium for generating data
By synchronizing and fusing millimeter-wave and laser sampling signals, a spatial signal description matrix is generated, which solves the problem of missed detection by detection sensors under severe weather conditions and improves the accuracy and robustness of point cloud data.
CN116027288BActive Publication Date: 2026-07-03VANJEE TECHNOLOGY CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- VANJEE TECHNOLOGY CO LTD
- Filing Date
- 2021-10-26
- Publication Date
- 2026-07-03
AI Technical Summary
Technical Problem
In existing technologies, a single detection sensor is prone to missing detections under adverse weather conditions, leading to a decrease in the accuracy of point cloud data.
Method used
By acquiring millimeter-wave sampling signals and laser sampling signals at the same time, synchronizing them to the same feature dimension space, obtaining an angle-distance map and performing fusion processing, generating a spatial signal description matrix, describing the joint position and confidence of the object, and finally outputting point cloud data.
Benefits of technology
It improves the accuracy of point cloud data, avoids mis-selection of vague but real objects, and enhances the robustness of detection.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN116027288B_ABST
Abstract
This application discloses a method, apparatus, electronic device, and storage medium for generating data, belonging to the field of intelligent monitoring technology. It includes: acquiring millimeter-wave sampling signals and laser sampling signals at the same time and for the same detection range; synchronizing the millimeter-wave sampling signals and laser sampling signals to the same feature dimension space; obtaining a first angular distance map based on the synchronized millimeter-wave sampling signals; obtaining a second angular distance map based on the synchronized laser sampling signals; fusing the first and second angular distance maps to obtain a spatial signal description matrix, which describes the joint position of an object and the joint confidence of that position, where the joint position is the position with the highest probability of object occurrence; and outputting point cloud data based on the spatial signal description matrix. This application improves the accuracy of the final generated point cloud data.
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