Mapping and localization with RFID technology
By Dirk Hähnel, Wolfram Burgard, Dieter Fox, Kenneth P. Fishkin, Matthai Philipose. IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004, 2004
830 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Artificial Intelligence, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/a2ca8ee0d983bdbb356a9fbfc686dcc5c88e0b4e
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In Aerospace Engineering
- Anindya Sao Paul
- John Nicholson
- Vladimir A. Kulyukin
- Chaitanya Gharpure
- Eric A. Wan
- Sachin Pavithran
- Simo Särkkä
- John L. Crassidis
In Artificial Intelligence
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- Eric A. Wan
- Husheng Li
- Rudolph van der Merwe
- Simo Särkkä
- Petros Spachos
- Sebastian Sadowski
- John L. Crassidis
In Electrical and Electronic Engineering
- Liying Fan
- Junhai Luo
- Philipp Bolliger
- Eric A. Wan
- Husheng Li
- Anindya Sao Paul
- Rainer Mautz
- Petros Spachos
Citations in the corpus
- RFID in robot-assisted indoor navigation for the visually impaired (2004, background): “For example, the robot developed by Hähnel et al.[10] travels at an average speed of 0.223 m/s, which is too slow for our purposes because it is slower than a moderate walking speed (0.7 m/s) by almost half a meter.”
- Indoor Positioning Systems Based on Visible Light Communication: State of the Art (2017, background): “It can utilize the Infrared, UWB Radar, Ultrasonic, Wi-Fi, Wireless Sensors, RFID, and FM to detect and track the human body without wearing any device.”
- Redpin - adaptive, zero-configuration indoor localization through user collaboration (2008, background): “One class of indoor localization systems that have been demonstrated to be very accurate are systems that use special hardware (for example, RFID [10], infrared [28], or ultrasound [11]).”
- RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers (2009, background): “More recently, particle filters have been used to demonstrate encouraging performance, although at a high computational cost for real time people tracking [4], [26]–[28].”