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 study a visual-inertial navigation (VIN) problem in which a robot needs to estimate its
state using an on-board camera and an inertial sensor, without any prior knowledge of the …

We present a robot localization system using biologically inspired vision. Our system models
two extensively studied human visual capabilities:(1) extracting the ldquogistrdquo of a …

The ability to represent knowledge about space and its position therein is crucial for a
mobile robot. To this end, topological and semantic descriptions are gaining popularity for …

Our attention is attracted to visually salient stimuli. It is important for complex biological
systems to rapidly detect potential prey, predators, or mates in a cluttered visual world …

This paper is centered around landmark detection, tracking, and matching for visual
simultaneous localization and map** using a monocular vision system with active gaze …

In this paper, we present a method for visual loop closure detection using a compact image
descriptor, Gabor-Gist. In contrast to the Bag-of-Words (BoW) approach, which is dominant …

Humans are endowed with the ability to grasp the overall meaning or the gist of a complex
visual scene at a glance. We need only a fraction of a second to decide if a scene is indoors …

The ability to autonomously acquire new knowledge through interaction with the
environment is an important research topic in the field of robotics. The knowledge can only …

In order to achieve the autonomy of mobile robots, effective localization is a necessary
prerequisite. In this paper, we propose an improved Monte Carlo localization algorithm …