{"title":"均匀室内环境下基于ros的视觉SLAM方法比较","authors":"I. Z. Ibragimov, Ilya M. Afanasyev","doi":"10.1109/WPNC.2017.8250081","DOIUrl":null,"url":null,"abstract":"This paper presents investigation of various ROS- based visual SLAM methods and analyzes their feasibility for a mobile robot application in homogeneous indoor environment. We compare trajectories obtained by processing different sensor data (conventional camera, LIDAR, ZED stereo camera and Kinect depth sensor) during the experiment with UGV prototype motion. These trajectories were computed by monocular ORB-SLAM, monocular DPPTAM, stereo ZedFu (based on ZED camera data) and RTAB-Map (based on MS Kinect 2.0 depth sensor data), and verified by LIDAR-based Hector SLAM and a tape measure as the ground truth.","PeriodicalId":246107,"journal":{"name":"2017 14th Workshop on Positioning, Navigation and Communications (WPNC)","volume":"69 9","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"57","resultStr":"{\"title\":\"Comparison of ROS-based visual SLAM methods in homogeneous indoor environment\",\"authors\":\"I. Z. Ibragimov, Ilya M. Afanasyev\",\"doi\":\"10.1109/WPNC.2017.8250081\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents investigation of various ROS- based visual SLAM methods and analyzes their feasibility for a mobile robot application in homogeneous indoor environment. We compare trajectories obtained by processing different sensor data (conventional camera, LIDAR, ZED stereo camera and Kinect depth sensor) during the experiment with UGV prototype motion. These trajectories were computed by monocular ORB-SLAM, monocular DPPTAM, stereo ZedFu (based on ZED camera data) and RTAB-Map (based on MS Kinect 2.0 depth sensor data), and verified by LIDAR-based Hector SLAM and a tape measure as the ground truth.\",\"PeriodicalId\":246107,\"journal\":{\"name\":\"2017 14th Workshop on Positioning, Navigation and Communications (WPNC)\",\"volume\":\"69 9\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"57\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 14th Workshop on Positioning, Navigation and Communications (WPNC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WPNC.2017.8250081\",\"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 14th Workshop on Positioning, Navigation and Communications (WPNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WPNC.2017.8250081","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of ROS-based visual SLAM methods in homogeneous indoor environment
This paper presents investigation of various ROS- based visual SLAM methods and analyzes their feasibility for a mobile robot application in homogeneous indoor environment. We compare trajectories obtained by processing different sensor data (conventional camera, LIDAR, ZED stereo camera and Kinect depth sensor) during the experiment with UGV prototype motion. These trajectories were computed by monocular ORB-SLAM, monocular DPPTAM, stereo ZedFu (based on ZED camera data) and RTAB-Map (based on MS Kinect 2.0 depth sensor data), and verified by LIDAR-based Hector SLAM and a tape measure as the ground truth.
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