Cited By
View all- Zhang LLin HWu KLin YTseng Y(2021)FusionTalk: An IoT-Based Reconfigurable Object Identification SystemIEEE Internet of Things Journal10.1109/JIOT.2020.30395188:9(7333-7345)Online publication date: 1-May-2021
Demo: A ROS-based Robot with Distributed Sensors for Seamless People Tracking
Authors: 
Ling-Yan Zhang, Kun-Ru Wu, Ting-Yuan Ke, Chih-Hsiang Wang, Yu-Chee TsengAuthors Info & Claims
Ling-Yan Zhang, Kun-Ru Wu, Ting-Yuan Ke, Chih-Hsiang Wang, Yu-Chee TsengAuthors Info & ClaimsArticle No.: 75, Pages 1 - 3
Abstract
This paper presents a robot for people identification and tracking developed on robot operating system (ROS). It achieves modulized, light-weight, low-cost, and high-performance design goals even with the existence of distributed sensors. The key idea is to utilize wearable devices to enhance the people tracking capability of a robot through instant wireless communications and multi-sensory data fusion. Experimental results in a realistic environment demonstrate that our robot can keep tracking a specific person at a safe distance even without seeing the biological features of the person, who walks in a crowd with complex trajectories.
References
[1]
Wei-Chun Chang, Cheng-Wei Wu, Richard Tsai, Kate Lin, and Yu-Chee Tseng. 2018. Eye on You: Fusing Gesture Data from Depth Camera and Inertial Sensors for Person Identification. In IEEE International Conference on Robotics and Automation (ICRA). 2021--2026.
[2]
I-Hsum Li, Wei-Yen Wang, and Chien-Kai Tseng. 2014. A kinect-sensorbased tracked robot for exploring and climbing stairs. International Journal of Advanced Robotic Systems 11, 5 (2014), 80.
[3]
Richard Tsai, Ting-Yuan Ke, Kate Lin, and Yu-Chee Tseng. 2019. Enabling Identification Aware Tracking via Fusion of Visual and Inertial Features. In IEEE International Conference on Robotics and Automation (ICRA).
Index Terms
- Demo: A ROS-based Robot with Distributed Sensors for Seamless People Tracking
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Information & Contributors
Information
Published In
August 2019
1017 pages
ISBN:9781450361699
DOI:10.1145/3300061
- General Chairs:
- Sharad Agarwal,
- Ben Greenstein,
- Aruna Balasubramanian,
- Program Chairs:
- Shyam Gollakota,
- Xinyu Zhang
Copyright © 2019 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 11 October 2019
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Author Tags
Qualifiers
- Demonstration
Funding Sources
- Pervasive Artificial Intelligence Research (PAIR) Labs, Ministry of Science and Technology (MoST), Center for Open Intelligent Connectivity (MoE)
Conference
MobiCom '19
Sponsor:
MobiCom '19: The 25th Annual International Conference on Mobile Computing and Networking
October 21 - 25, 2019
Los Cabos, Mexico
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Overall Acceptance Rate 440 of 2,972 submissions, 15%
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Cited By
View all- Zhang LLin HWu KLin YTseng Y(2021)FusionTalk: An IoT-Based Reconfigurable Object Identification SystemIEEE Internet of Things Journal10.1109/JIOT.2020.30395188:9(7333-7345)Online publication date: 1-May-2021
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