Positioning in GPS-denied Environments
Whereas GPS is a de facto positioning solution for outdoor environments, it does not work well indoors or underground. We adopt two distinct approaches to solving the localisation problem in GPS-denied environments: infrastructure-based and infrastructure-free solutions. Our algorithms range from traditional geometry-based algorithms to deep learning approaches, and are applied to localising people, animals, robots and assets. We are particularly interested in positioning systems that combine multiple sensor modalities, including visual, inertial, radio and magnetic data.
Simultaneous Localization and Mapping with Power Network Electromagnetic Field
Chris Xiaoxuan Lu‚ Yang Li‚ Peijun Zhao‚ Changhao Chen‚ Linhai Xie‚ Hongkai Wen‚ Rui Tan and Niki Trigoni
In Annual International Conference on Mobile Computing and Networking (MobiCom). 2018.
Leveraging User Activities and Mobile Robots for Semantic Mapping and User Localization
Stefano Rosa‚ Chris Xiaoxuan Lu‚ Hongkai Wen and Niki Trigoni
In ACM/IEEE International Conference on Human−Robot Interaction (HRI). Pages 267−268. 2017.
"Loop detection in robotic navigation using MPEG CDVS."
Gianluca. P.B. de Gusmao Pedro; Rosa Stefano; Magli Enrico; Lepsøy Skjalg; Francini