Robotic autonomous exploration SLAM using combination of Kinect and laser scanner

Xudong Sun, F. Sun, Bin Wang, Jianqin Yin, Xiaolin Sheng, Qinghua Xiao
{"title":"Robotic autonomous exploration SLAM using combination of Kinect and laser scanner","authors":"Xudong Sun, F. Sun, Bin Wang, Jianqin Yin, Xiaolin Sheng, Qinghua Xiao","doi":"10.1109/MFI.2017.8170393","DOIUrl":null,"url":null,"abstract":"Frontier-based exploration is the most common approach to exploration, a fundamental problem in robotics. Laser scanner and Kinect have been widely used in robotic application for simultaneous localization and mapping (SLAM) separately. The paper proposes a method to combine the data from Kinect and laser scanner to perform a Frontier-based exploration SLAM. The 2 sensors will be installed facing forward and facing backward in opposite directions which make robot have wider vision, thus the robot can detect more complex surrounding features to increase the exploration efficiency and to construct a more accurate map of the unknown environment.","PeriodicalId":402371,"journal":{"name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MFI.2017.8170393","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Frontier-based exploration is the most common approach to exploration, a fundamental problem in robotics. Laser scanner and Kinect have been widely used in robotic application for simultaneous localization and mapping (SLAM) separately. The paper proposes a method to combine the data from Kinect and laser scanner to perform a Frontier-based exploration SLAM. The 2 sensors will be installed facing forward and facing backward in opposite directions which make robot have wider vision, thus the robot can detect more complex surrounding features to increase the exploration efficiency and to construct a more accurate map of the unknown environment.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
结合Kinect和激光扫描仪的机器人自主探索SLAM
基于边界的探索是最常见的探索方法,也是机器人的一个基本问题。激光扫描仪和Kinect在机器人应用中被广泛应用于同时定位和绘图(SLAM)。本文提出了一种将Kinect数据与激光扫描仪数据相结合的方法来进行基于边界的探测SLAM。这2个传感器将被安装在相反的方向上,朝向前方和向后,使机器人的视野更宽,从而机器人可以检测到更复杂的周围特征,提高探索效率,构建更准确的未知环境地图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Deep reinforcement learning algorithms for steering an underactuated ship Data analytics development of FDR (Flight Data Recorder) data for airline maintenance operations Underwater Terrain Navigation Using Standard Sea Charts and Magnetic Field Maps Musculoskeletal model of a pregnant woman considering stretched rectus abdominis and co-contraction muscle activation Compressive sensing based data collection in wireless sensor networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1