Target detection method, apparatus, and vehicle

By using LiDAR to detect and match point cloud data from different scanning directions, the problem of point cloud expansion noise in vehicle-mounted LiDAR has been solved, improving the accuracy of target detection and driving safety.

WO2026112971A1PCT designated stage Publication Date: 2026-06-04YINWANG INTELLIGENT TECHNOLOGIES CO LTD

Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
YINWANG INTELLIGENT TECHNOLOGIES CO LTD
Filing Date
2024-11-29
Publication Date
2026-06-04

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    Figure CN2024135722_04062026_PF_FP_ABST
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Abstract

The present application provides a target detection method, an apparatus, and a vehicle. The present application can be applied to the field of intelligent driving. The method comprises: acquiring first point cloud data collected by a first laser radar and second point cloud data collected by a second laser radar, wherein field-of-view areas covered by the first laser radar and the second laser radar include a first field-of-view area, the scanning direction of the first laser radar is a first direction, the scanning direction of the second laser radar is a second direction, and the first direction is different from the second direction; and detecting a noise source target in the first field-of-view area on the basis of the first point cloud data and the second point cloud data. The present application can be applied to intelligent vehicles or electric vehicles, which is conducive to avoiding erroneous filtering of a real target or missed filtering of laser radar noise and improving the accuracy of target detection, thereby enhancing driving and riding safety of users.
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