Obstacle region determination method and apparatus, electronic device, and storage medium
By performing frame stacking and deep learning model segmentation on multi-frame point clouds, the problem of low point cloud data annotation efficiency is solved, and efficient and accurate static obstacle region annotation is achieved.
CN119380318BActive Publication Date: 2026-07-14BEIJING BAIDU NETCOM SCI & TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING BAIDU NETCOM SCI & TECH CO LTD
- Filing Date
- 2024-10-17
- Publication Date
- 2026-07-14
Smart Images
Figure CN119380318B_ABST
Abstract
The disclosure provides a method and device for determining an obstacle region, electronic equipment and a storage medium, relates to the technical field of artificial intelligence, in particular to the fields of data processing, deep learning, computer vision and automatic driving. The specific implementation scheme is: N frames of point clouds are stacked to obtain a target point cloud; wherein N is an integer greater than or equal to 2; the target point cloud is segmented based on a first deep learning model to obtain a first obstacle region in the target point cloud; and the second obstacle region in a single frame of point cloud in the N frames of point cloud is obtained based on the first obstacle region in the target point cloud. According to the embodiment of the disclosure, the labeling efficiency of static obstacles can be improved.
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Citation Information
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