{"title":"A study of 2D indoor localization and mapping using FastSLAM 2.0","authors":"Dwi Kumiawan, A. N. Jati, U. Sunarya","doi":"10.1109/ICCEREC.2016.7814991","DOIUrl":null,"url":null,"abstract":"FastSLAM 2.0 is a Simultaneous Localization And Mapping (SLAM) framework that provides an algorithm for calculating robot's pose and map the environment concurrently. It consists of calculation that include getting data from sensor, associate the data, and update the map. SLAM is a challenging problem in Robotics because it is considered a chicken-and-egg problem. In this paper, ite will be studied the FastSLAM 2.0 algorithm that will be using RANSAC (Random Sampling Consensus) for its feature extraction.","PeriodicalId":431878,"journal":{"name":"2016 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEREC.2016.7814991","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
FastSLAM 2.0 is a Simultaneous Localization And Mapping (SLAM) framework that provides an algorithm for calculating robot's pose and map the environment concurrently. It consists of calculation that include getting data from sensor, associate the data, and update the map. SLAM is a challenging problem in Robotics because it is considered a chicken-and-egg problem. In this paper, ite will be studied the FastSLAM 2.0 algorithm that will be using RANSAC (Random Sampling Consensus) for its feature extraction.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
