Visual SLAM (simultaneous localization and mapping) refers to the problem of using
images, as the only source of external information, in order to establish the position of a …

This thesis deals with the Simultaneous Localisation and Mapping algorithm as it pertains to
the deployment of mobile systems in unknown environments. Simultaneous Localisation …

This work provides a general description of the multi sensor data fusion concept, along with
a new classification of currently used sensor fusion techniques for unmanned underwater …

This paper presents results of the application of the simultaneous localisation and mapping
algorithm to data collected by an unmanned underwater vehicle operating on the Great …

Emerging opportunities in the exploration of inland water bodies, such as underwater mining
of flooded open pit mines, require accurate real-time positioning of multiple underwater …

A key problem with autonomous underwater vehicles is being able to navigate in a generally
unknown environment. The available underwater sensor suites have a limited capability to …

This book describes recent work on active sensors for mobile robots. An active sensor
interacts with its surroundings to supply data on demand for a particular function, gathering …

The drive towards utilizing small, cheap, autonomous aerial vehicles for military operations
means that navigation systems that are robust to GPS denial must be employed. The …

This paper presents a novel method for incorporating unstructured, natural terrain
information into the process of tracking of underwater vehicles. Terrain-aided navigation …

In this paper we present a novel feature initialization technique for the Simultaneous
Localization and Mapping (SLAM) algorithm. The initialization scheme extends previous …