Obstacle detection method and device, electronic equipment and storage medium

By using an obstacle detection method based on two frames of point cloud data, the problem of lasers misjudging small obstacles as noise was solved, enabling accurate identification and avoidance of small obstacles and improving the detection performance of electronic devices.

CN116246157BActive Publication Date: 2026-06-19BEIJING SHUNZAO TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING SHUNZAO TECH CO LTD
Filing Date
2022-05-30
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing lasers are prone to misinterpreting small obstacles as noise when detecting them, resulting in inaccurate identification and affecting the obstacle detection performance of robots and other electronic devices.

Method used

Obstacle detection is performed using two frames of point cloud data. By identifying the key points and feature regions in the first frame of point cloud data and combining them with the second frame of point cloud data to perform feature point detection, obstacle detection results are generated, avoiding noise interference.

Benefits of technology

It effectively identifies various obstacles, especially small ones, improving the obstacle detection accuracy of electronic devices, preventing small obstacles from being misjudged as noise, and ensuring that the device can accurately avoid obstacles.

✦ Generated by Eureka AI based on patent content.

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Abstract

This disclosure provides an obstacle detection method, apparatus, electronic device, and storage medium. Some embodiments of the obstacle detection method include: acquiring point cloud data of the environment surrounding an electronic device collected by a laser, the point cloud data including a first frame of point cloud data and a second frame of point cloud data; determining a first region of the environment surrounding the electronic device based on the first frame of point cloud data, the first region being a region in the environment surrounding the electronic device where obstacles may exist; and detecting whether feature points exist in the first region based on the second frame of point cloud data to obtain an obstacle detection result, the obstacle detection result being used to indicate whether obstacles exist in the environment surrounding the electronic device. This disclosure uses two frames of point cloud data to perform feature point detection on the same region for obstacle detection, which can effectively avoid noise interference. Simultaneously, this disclosure can comprehensively identify various obstacles in the surrounding environment, effectively avoiding the situation where small obstacles cannot be identified.
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