— The main contribution of this paper is a new SLAM algorithm for the mapping of large scale environments by combining local maps. The local maps can be generated by traditional ...
Two stereo vision-based mobile robots navigate and autonomously explore their environment safely while building occupancy grid maps of the environment. A novel landmark recognitio...
This paper presents an algorithm for simultaneous localization and map building for a mobile robot moving in an unknown environment. The robot can measure only the bearings to ide...
Abstract— We propose a new vision-based SLAM (Simultaneous Localization and Mapping) technique using both line and corner features as landmarks in the scene. The proposed SLAM al...
This paper addresses the problem of building large-scale geometric maps of indoor environments with mobile robots. It poses the map building problem as a constrained, probabilistic...