Abstract Simultaneous Localization and Mapping (SLAM) is a process to use multiple
sensors to position an unmanned mobile vehicle without previous knowledge of the …

Topological maps model the environment as a graph, where nodes are distinctive places of
the environment and edges indicate topological relationships between them. They represent …

In this paper, we address the problem of outdoor, appearance-based topological
localization, particularly over long periods of time where seasonal changes alter the …

With the rapid development of offshore exploration, autonomous underwater vehicles
(AUVs) have come in great diversities depending on their particular specifications in civil …

Cameras are now commonplace in our social and computing landscapes and embedded
into consumer devices like smartphones and tablets. A new generation of wearable devices …

A major challenge in place recognition for autonomous driving is to be robust against
appearance changes due to short-term (eg, weather, lighting) and long-term (seasons …

We propose a fast and robust CV-SLAM (ceiling vision-based simultaneous localization and
mapping) technique using a single ceiling vision sensor. The proposed algorithm is suitable …

Vision-based topological localization and mapping for autonomous robotic systems have
received increased research interest in recent years. The need to map larger environments …

This paper presents a novel coarse-to-fine global localization approach inspired by object
recognition and text retrieval techniques. Harris-Laplace interest points characterized by …

SIFT features are distinctive invariant features used to robustly describe and match digital
image content between different views of a scene. While invariant to scale and rotation, and …