Wan Abdul Syaqur, A. S. Ali Yeon, A. Abdullah, K. Kamarudin, R. Visvanathan, A. Ismail, S. M. Mamduh, A. Zakaria
{"title":"UniMAP未知环境下基于移动机器人的同步定位与映射","authors":"Wan Abdul Syaqur, A. S. Ali Yeon, A. Abdullah, K. Kamarudin, R. Visvanathan, A. Ismail, S. M. Mamduh, A. Zakaria","doi":"10.1109/ICASSDA.2018.8477629","DOIUrl":null,"url":null,"abstract":"Mapping is one of the most important aspect in robot navigation. This project emphasizes on the mapping using Simultaneous Localization and Mapping (SLAM) using GMapping approach. Turtlebot equipped with Hokuyo Laser Range Finder (LRF) URG-04LX-UG01 is used for the mapping. The SLAM operations were done in there different locations in UniMAP, which are either indoor or mixed of indoor-outdoor environment. The results show that the indoor maps obtained are more accurate than the outdoor map. This is due to the laser scanner unable to produce accurate scan measurement in outdoor environment and therefore result in scan matching problems.","PeriodicalId":185167,"journal":{"name":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Mobile Robot Based Simultaneous Localization and Mapping in UniMAP's Unknown Environment\",\"authors\":\"Wan Abdul Syaqur, A. S. Ali Yeon, A. Abdullah, K. Kamarudin, R. Visvanathan, A. Ismail, S. M. Mamduh, A. Zakaria\",\"doi\":\"10.1109/ICASSDA.2018.8477629\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mapping is one of the most important aspect in robot navigation. This project emphasizes on the mapping using Simultaneous Localization and Mapping (SLAM) using GMapping approach. Turtlebot equipped with Hokuyo Laser Range Finder (LRF) URG-04LX-UG01 is used for the mapping. The SLAM operations were done in there different locations in UniMAP, which are either indoor or mixed of indoor-outdoor environment. The results show that the indoor maps obtained are more accurate than the outdoor map. This is due to the laser scanner unable to produce accurate scan measurement in outdoor environment and therefore result in scan matching problems.\",\"PeriodicalId\":185167,\"journal\":{\"name\":\"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)\",\"volume\":\"120 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSDA.2018.8477629\",\"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 Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSDA.2018.8477629","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mobile Robot Based Simultaneous Localization and Mapping in UniMAP's Unknown Environment
Mapping is one of the most important aspect in robot navigation. This project emphasizes on the mapping using Simultaneous Localization and Mapping (SLAM) using GMapping approach. Turtlebot equipped with Hokuyo Laser Range Finder (LRF) URG-04LX-UG01 is used for the mapping. The SLAM operations were done in there different locations in UniMAP, which are either indoor or mixed of indoor-outdoor environment. The results show that the indoor maps obtained are more accurate than the outdoor map. This is due to the laser scanner unable to produce accurate scan measurement in outdoor environment and therefore result in scan matching problems.