基于增强快速视觉的避障算法

2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI:10.1109/SSD54932.2022.9955700

Noureddine Madjour, M. Sid, B. Sari

{"title":"基于增强快速视觉的避障算法","authors":"Noureddine Madjour, M. Sid, B. Sari","doi":"10.1109/SSD54932.2022.9955700","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an extended object size detector to identify the frontal obstacle approaching during quadcopters navigation. This algorithm has a low computation complexity and robustness to the background noise. Experimental results, performed in the GAZEBO simulator, confirm the accuracy and the high performance of the proposed approach.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"68 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhanced Fast Vision-Based Obstacle Avoidance Algorithm\",\"authors\":\"Noureddine Madjour, M. Sid, B. Sari\",\"doi\":\"10.1109/SSD54932.2022.9955700\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose an extended object size detector to identify the frontal obstacle approaching during quadcopters navigation. This algorithm has a low computation complexity and robustness to the background noise. Experimental results, performed in the GAZEBO simulator, confirm the accuracy and the high performance of the proposed approach.\",\"PeriodicalId\":253898,\"journal\":{\"name\":\"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)\",\"volume\":\"68 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSD54932.2022.9955700\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSD54932.2022.9955700","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

在本文中，我们提出了一种扩展的目标尺寸检测器来识别四轴飞行器在导航过程中迎面逼近的障碍物。该算法具有较低的计算复杂度和对背景噪声的鲁棒性。在GAZEBO模拟器上进行的实验结果证实了该方法的准确性和高性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Enhanced Fast Vision-Based Obstacle Avoidance Algorithm

In this paper, we propose an extended object size detector to identify the frontal obstacle approaching during quadcopters navigation. This algorithm has a low computation complexity and robustness to the background noise. Experimental results, performed in the GAZEBO simulator, confirm the accuracy and the high performance of the proposed approach.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)

自引率

0.00%

发文量