J. Rydell, M. Tulldahl, E. Bilock, Linnéa Axelsson, Pontus Köhler
{"title":"基于无人机的树冠下自主森林测绘","authors":"J. Rydell, M. Tulldahl, E. Bilock, Linnéa Axelsson, Pontus Köhler","doi":"10.1109/PLANS46316.2020.9109921","DOIUrl":null,"url":null,"abstract":"We present a system for forest mapping from an autonomous UAV, flying below the tree canopy. The UAV is equipped with four stereo cameras, which provide information for navigation, mapping, and collision avoidance. The main focus of the paper is positioning and forest mapping, but the full system, including both hardware and algorithms, is described.","PeriodicalId":273568,"journal":{"name":"2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Autonomous UAV-based Forest Mapping Below the Canopy\",\"authors\":\"J. Rydell, M. Tulldahl, E. Bilock, Linnéa Axelsson, Pontus Köhler\",\"doi\":\"10.1109/PLANS46316.2020.9109921\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a system for forest mapping from an autonomous UAV, flying below the tree canopy. The UAV is equipped with four stereo cameras, which provide information for navigation, mapping, and collision avoidance. The main focus of the paper is positioning and forest mapping, but the full system, including both hardware and algorithms, is described.\",\"PeriodicalId\":273568,\"journal\":{\"name\":\"2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PLANS46316.2020.9109921\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PLANS46316.2020.9109921","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Autonomous UAV-based Forest Mapping Below the Canopy
We present a system for forest mapping from an autonomous UAV, flying below the tree canopy. The UAV is equipped with four stereo cameras, which provide information for navigation, mapping, and collision avoidance. The main focus of the paper is positioning and forest mapping, but the full system, including both hardware and algorithms, is described.