This paper discusses the recursive Bayesian formulation of the simultaneous localization
and mapping (SLAM) problem in which probability distributions or estimates of absolute or …

This paper presents an analysis of the extended Kalman filter formulation of simultaneous
localisation and mapping (EKF-SLAM). We show that the algorithm produces very optimistic …

This thesis addresses the issues of scale for practical implementations of simultaneous
localisation and mapping (SLAM) in extensive outdoor environments. Building an …

We propose an on-line algorithm for simultaneous localization and mapping of dynamic
environments. Our algorithm is capable of differentiating static and dynamic parts of the …

Forest mapping, one of the main components of performing a forest inventory, is an
important driving force in the development of laser scanning. Mobile laser scanning (MLS) …

This paper presents results of the application of simultaneous localisation and map building
(SLAM) for an uninhabited aerial vehicle (UAV). Single vision camera and inertial …

The ability to simultaneously localise a robot and accurately map its surroundings is
considered by many to be a key prerequisite of truly autonomous robots. This paper …

The paper at hand introduces a novel system for producing an enhanced semantic map that
leverages a reconstruction approach of street-view scenes using computer vision and …

In recent years, the rapid development of unmanned aerial vehicle (UAV) technologies has
made data acquisition increasingly convenient, and three-dimensional (3D) reconstruction …

Our research objective is simultaneous localization and mapping (SLAM) in rubble
environment. The map construction requires estimation of robot trajectory in 3D space …