{"title":"使用tum_ardrone包为Ardrone 2.0开发避障系统","authors":"F. d'Apolito, C. Sulzbachner","doi":"10.1109/RED-UAS.2017.8101642","DOIUrl":null,"url":null,"abstract":"For micro aerial vehicles (MAV) to operate in indoor environments, several challenges have been identified such as collision avoidance. This paper aims to present a small scale indoor demonstrator of an indoor collision avoidance system using the Parrot Ardrone 2.0 and the tum_ardrone ROS package. In addition, obstacle detection was developed in order to detect obstacles from the point cloud extracted from the Parallel Tracking and Mapping (PTAM) algorithm. Based on the coordinates of the obstacles, the autopilot computes a safe path for the MAV.","PeriodicalId":299104,"journal":{"name":"2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Obstacle avoidance system development for the Ardrone 2.0 using the tum_ardrone package\",\"authors\":\"F. d'Apolito, C. Sulzbachner\",\"doi\":\"10.1109/RED-UAS.2017.8101642\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For micro aerial vehicles (MAV) to operate in indoor environments, several challenges have been identified such as collision avoidance. This paper aims to present a small scale indoor demonstrator of an indoor collision avoidance system using the Parrot Ardrone 2.0 and the tum_ardrone ROS package. In addition, obstacle detection was developed in order to detect obstacles from the point cloud extracted from the Parallel Tracking and Mapping (PTAM) algorithm. Based on the coordinates of the obstacles, the autopilot computes a safe path for the MAV.\",\"PeriodicalId\":299104,\"journal\":{\"name\":\"2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS)\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RED-UAS.2017.8101642\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RED-UAS.2017.8101642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Obstacle avoidance system development for the Ardrone 2.0 using the tum_ardrone package
For micro aerial vehicles (MAV) to operate in indoor environments, several challenges have been identified such as collision avoidance. This paper aims to present a small scale indoor demonstrator of an indoor collision avoidance system using the Parrot Ardrone 2.0 and the tum_ardrone ROS package. In addition, obstacle detection was developed in order to detect obstacles from the point cloud extracted from the Parallel Tracking and Mapping (PTAM) algorithm. Based on the coordinates of the obstacles, the autopilot computes a safe path for the MAV.