This paper introduces a taxonomy of vision systems for ground mobile robots. In the last five
years, a significant number of relevant papers have contributed to this subject. Firstly, a …

This paper describes GPU based algorithms to compute state transition models for
unmanned surface vehicles (USVs) using 6 degree of freedom (DOF) dynamics simulations …

This paper presents a novel method and innovative apparatus for building three‐
dimensional (3d) dense visual maps of large‐scale unstructured environments for …

This paper describes a probabilistic online map merging system for a single mobile robot. It
performs intermittent exploration by fusing laser scan matching and omnidirectional vision …

Visual motion perception from a moving observer is the most often encountered case in real
life situations. It is a complex and challenging problem, although, it can promote the arising …

In this paper, we present a feasible solution to the problem of autonomous navigation in
initially unknown environments using a pure vision-based approach. The mobile robot …

This paper describes a topological SLAM system using a purely vision-based approach.
This robot utilizes a GPU-based omnidirectional catadioptric stereovision system to perceive …

Omnidirectional catadioptric systems are popular in many fields, such as robotics,
surveillance, telepresence and virtual reality, thanks to their large field of view. For 3D scene …

This article investigates the application of deep learning (DL) to the fusion of omnidirectional
(OD) infrared (IR) sensors and OD visual sensors to improve the intelligent perception of …

Omnidirectional stereovision is beneficial in wide applications due to its large field of view.
Traditional implementation of such a system employs two separate cameras looking at …