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RPS-TSM: A robot perception system based on temporal semantic map

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Perception ability is important for robots to gain intelligence. From basic sensor data collection to environmental geometry construction, or further semantic information extraction, perception ability gets promoted with a better understanding of data. This paper proposed Temporal Semantic Map (TSM), which adds a temporal dimension on traditional semantic map. Robots can not only perceive the information of the current environment, but also understand the normal state and have a memory of the environment. We have built a Robot Perception System (RPS) which can construct the TSM, automatically infer the normal status of environment using TSM, detect environmental changes and possible anomalies without any hard-coded/human-written rules. We implement RPS on top of the well-known robot operating system (ROS) and evaluate it with a robot inspector application in real scenarios.

源语言英语
主期刊名Security, Privacy, and Anonymity in Computation, Communication, and Storage - SpaCCS 2017 International Workshops, Proceedings
编辑Guojun Wang, Zheng Yan, Kim-Kwang Raymond Choo, Mohammed Atiquzzaman
出版商Springer Verlag
524-533
页数10
ISBN(印刷版)9783319723945
DOI
出版状态已出版 - 2017
活动10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, SpaCCS 2017 - Guangzhou, 中国
期限: 12 12月 201715 12月 2017

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10658 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, SpaCCS 2017
国家/地区中国
Guangzhou
时期12/12/1715/12/17

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