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.
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
IONet: Learning to Cure the Curse of Drift in Inertial Odometry
Changhao Chen‚ Xiaoxuan Lu‚ Andrew Markham and Niki Trigoni
In AAAI Conference on Artificial Intelligence (AAAI). 2018.