This paper presents a SLAM algorithm for a team of mobile robots exploring an indoor environment, described by adopting the M-Space representation of linear features. Each robot so...
Daniele Benedettelli, Andrea Garulli, Antonio Gian...
An asynchronous stochastic approximation based (Frequentist) approach is proposed for mapping using noisy mobile sensors under two different scenarios: 1) perfectly known sensor ...
— In this paper we consider a single hand-held camera performing SLAM at video rate with generic 6DOF motion. The aim is to optimise both the localisation of the sensor and build...
Teresa Vidal-Calleja, Andrew J. Davison, Juan Andr...
Abstract— We describe a fast method to relocalise a monocular visual SLAM (Simultaneous Localisation and Mapping) system after tracking failure. The monocular SLAM system stores ...
— This paper presents an analysis of FastSLAM— a Rao-Blackwellised particle filter formulation of simultaneous localisation and mapping. It shows that the algorithm degenerate...