Localisation

Multi-modal localisation
SLAMping
Consistent triangulation
Localisation and mapping is a key requirement of self-driving cars and other autonomous robots. It is well studied in the forms of angulation and lateration for known anchor positions and, more generally, simultaneous localisation and mapping (SLAM) and structure from motion (SfM) for unknown anchor positions.

My research in this area aims to abstract the key essence of these problems to reveal fundamental performance limits and connections to a priori unrelated fields. In addition, I investigate novel regularisers and priors that can be used in practical localisation and mapping algorithms.

Related publications

Journal papers
Conference papers

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