Limited navigation capabilities of many current robots and UAVs restricts their applications
in GPS denied areas. Large aircraft with complex navigation systems rely on a variety of …

Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …

Visual place recognition is a challenging problem due to the vast range of ways in which the
appearance of real-world places can vary. In recent years, improvements in visual sensing …

We tackle the problem of large scale visual place recognition, where the task is to quickly
and accurately recognize the location of a given query photograph. We present the following …

We introduce the KAIST multi-spectral data set, which covers a great range of drivable
regions, from urban to residential, for autonomous systems. Our data set provides the …

In this paper we propose the use of an illumination invariant transform to improve many
aspects of visual localisation, mapping and scene classification for autonomous road …

With the advent of commodity autonomous mobiles, it is becoming increasingly prevalent to
recognize under extreme conditions such as night, erratic illumination conditions. This need …

This paper presents Sequence Matching Across Route Traversals (SMART); a generally
applicable sequence-based place recognition algorithm. SMART provides invariance to …

This paper is about extending the reach and endurance of outdoor localisation using stereo
vision. At the heart of the localisation is the fundamental task of discovering feature …

In this letter, we present a dataset capturing diverse visual data formats that target varying
luminance conditions. While RGB cameras provide nourishing and intuitive information …