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扑翼机器人机载视觉避障系统设计

付强 张祚卿 刘胜南 吴晓阳 贺威

南京航空航天大学学报(英文版)2024,Vol.41Issue(1):97-106,10.
南京航空航天大学学报(英文版)2024,Vol.41Issue(1):97-106,10.DOI:10.16356/j.1005-1120.2024.01.008

扑翼机器人机载视觉避障系统设计

Design of an On-Board Vision-Based Obstacle Avoidance System for Flapping-Wing Robots

付强 1张祚卿 1刘胜南 1吴晓阳 1贺威1

作者信息

  • 1. 北京科技大学智能科学与技术学院,北京 100083,中国||北京科技大学人工智能研究院,北京 100083,中国||北京科技大学智能仿生无人系统教育部重点实验室,北京 100083,中国
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摘要

Abstract

The flapping-wing robot(FWR)is a kind of high-biomimetic aerial vehicle that can perform military reconnaissance and civil monitoring missions.When performing these missions,obstacle avoidance is a necessary function to ensure safety of FWRs.In this paper,an autonomous monocular-vision-based obstacle avoidance system is designed for FWRs,where all the image processing computations are implemented by using an on-board computer.In this system,the weight of the on-board computer is reduced to 48 g so that the FWR could fly properly.The workflow of the system can be divided into the following steps.First,the image acquisition module captures videos of the surrounding environment.Second,the on-board computer calculates the rudder angle and turning direction by processing the optical flow information from the first-person view.Finally,the flight control board receives the calculated results and controls the FWR to avoid obstacles.A ground station performs real-time monitoring of the FWR flight process,and experimental results demonstrate the effectiveness of the obstacle avoidance system designed in this paper.

关键词

扑翼机器人/视觉/避障/机载处理器/光流

Key words

flapping-wing robots/vision/obstacle avoidance/on-board computer/optical flow

分类

信息技术与安全科学

引用本文复制引用

付强,张祚卿,刘胜南,吴晓阳,贺威..扑翼机器人机载视觉避障系统设计[J].南京航空航天大学学报(英文版),2024,41(1):97-106,10.

基金项目

This work was supported by the Na-tional Natural Science Foundation of China(Nos.62225304,61933001,62173031,U20A20225),the Interdisciplinary Research Project for Young Teachers of Fundamental Re-search Funds for the Central Universities(No.FRF-IDRY-22-029),and the Beijing Top Discipline for Artificial Intelli-gent Science and Engineering,University of Science and Technology Beijing. (Nos.62225304,61933001,62173031,U20A20225)

南京航空航天大学学报(英文版)

OACSTPCD

1005-1120

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