Simultaneous Localisation and Mapping (SLAM) is one of the fundamental problems in
autonomous mobile robots where a robot needs to reconstruct a previously unseen …

Location services, fundamentally, rely on two components: a mapping system and a
positioning system. The mapping system provides the physical map of the space, and the …

Visual simultaneous localization and mapping (SLAM) has attracted high attention over the
past few years. In this paper, a comprehensive survey of the state-of-the-art feature-based …

We consider the following problem: a team of robots is deployed in an unknown
environment and it has to collaboratively build a map of the area without a reliable …

Simultaneous localization and mapping (SLAM) system typically employs vision-based
sensors to observe the surrounding environment. However, the performance of such …

This paper presents an approach and introduces new open-source tools that can be used to
evaluate robotic mapping algorithms. Also described is an extensive subterranean mine …

This paper develops and tests a plane based simultaneous localization and mapping
algorithm capable of processing the uneven sampling density of Velodyne-style scanning …

When working alongside human collaborators in dynamic environments such as a disaster
recovery, an unmanned ground vehicle (UGV) may require fast field adaptation to perform its …

Object discovery and modeling have been widely studied in the computer vision and
robotics communities. SLAM approaches that make use of objects and higher level features …

Imagery collected from outdoor visual environments is often degraded due to the presence
of dense smoke or haze. A key challenge for research in scene understanding in these …