{"title":"基于立体视觉的无人系统避碰","authors":"Sungick Kong, Sang-Seol Lee, Sung-Joon Jang","doi":"10.1109/ISOCC.2018.8649941","DOIUrl":null,"url":null,"abstract":"In the unmanned systems, the intelligent navigating technologies are very important. For this purpose, we introduce a navigation algorithm that includes collision avoidance using a stereo camera. To accurately avoid the obstacles, we propose the object detection, the navigable space searching and the efficient collision avoidance real-time algorithms. In this article, we focus on an unmanned aerial vehicle (UAV) system. The UAV basically flies along the global path towards the goal point entered by the user. If it is not possible, UAV return by performing the proposed local path planning algorithm. The generated local path is based on the new waypoint, and it safely flies to the final goal point using the calculated flight direction and distance information between waypoint and waypoint.","PeriodicalId":127156,"journal":{"name":"2018 International SoC Design Conference (ISOCC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stereo vision-based Collision Avoidance for Unmanned Systems\",\"authors\":\"Sungick Kong, Sang-Seol Lee, Sung-Joon Jang\",\"doi\":\"10.1109/ISOCC.2018.8649941\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the unmanned systems, the intelligent navigating technologies are very important. For this purpose, we introduce a navigation algorithm that includes collision avoidance using a stereo camera. To accurately avoid the obstacles, we propose the object detection, the navigable space searching and the efficient collision avoidance real-time algorithms. In this article, we focus on an unmanned aerial vehicle (UAV) system. The UAV basically flies along the global path towards the goal point entered by the user. If it is not possible, UAV return by performing the proposed local path planning algorithm. The generated local path is based on the new waypoint, and it safely flies to the final goal point using the calculated flight direction and distance information between waypoint and waypoint.\",\"PeriodicalId\":127156,\"journal\":{\"name\":\"2018 International SoC Design Conference (ISOCC)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International SoC Design Conference (ISOCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISOCC.2018.8649941\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International SoC Design Conference (ISOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOCC.2018.8649941","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stereo vision-based Collision Avoidance for Unmanned Systems
In the unmanned systems, the intelligent navigating technologies are very important. For this purpose, we introduce a navigation algorithm that includes collision avoidance using a stereo camera. To accurately avoid the obstacles, we propose the object detection, the navigable space searching and the efficient collision avoidance real-time algorithms. In this article, we focus on an unmanned aerial vehicle (UAV) system. The UAV basically flies along the global path towards the goal point entered by the user. If it is not possible, UAV return by performing the proposed local path planning algorithm. The generated local path is based on the new waypoint, and it safely flies to the final goal point using the calculated flight direction and distance information between waypoint and waypoint.