Battery-Free UHF-RFID Sensors-Based SLAM for In-Pipe Robot Perception
Author:
Affiliation:
1. IPipes Laboratory, Faculty of Engineering and Information Technology, UTS Robotics Institute, University of Technology Sydney, Sydney, NSW, Australia
Funder
University of Technology Sydney (UTS) through the Faculty of Engineering and Information Technology (FEIT) Tech Laboratory Blue Sky Research Grant
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9920237/09889079.pdf?arnumber=9889079
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Acoustic Echo Sensing for Robot Localization in Buried Pipe Networks;IEEE Sensors Journal;2024-08-15
2. Battery-Less Sensor Tags with RFID: A Survey;2024 IEEE International Conference on RFID (RFID);2024-06-04
3. Multimodel Neural Network for Live Classification of Water Pipe Leaks From Vibro-Acoustic Signals;IEEE Sensors Journal;2024-05-01
4. Joint energy beamforming and bandwidth allocation for cooperative localization in passive sensor networks;Internet of Things;2024-04
5. Robotics and Sensing for Condition Assessment of Wastewater Pipes;Infrastructure Robotics;2023-12-15
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