During last decade the scientific research on Unmanned Aerial Vehicless (UAVs) increased
spectacularly and led to the design of multiple types of aerial platforms. The major challenge …

Accurate localization of a vehicle is a fundamental challenge and one of the most important
tasks of mobile robots. For autonomous navigation, motion tracking, and obstacle detection …

This study aims to investigate the current knowledge of unmanned aerial vehicle (UAV)‐
based simultaneous localization and mapping (SLAM) in outdoor environments and to …

Sparse optical flow algorithms, such as the Lucas-Kanade approach, provide more
robustness to noise than dense optical flow algorithms and are the preferred approach in …

It is a necessity for mobile robots to navigate in indoor environments. With the navigation
ability, robots can move around automatically. Navigation is also the basis of many kinds of …

We propose the use of optical flow information as a method for detecting and describing
changes in the environment, from the perspective of a mobile camera. We analyze the …

A topological mapping approach for omnidirectional images capable of answering loop
closure queries at multiple resolutions is presented. The environment is mapped …

Most of the existing appearance-based topological mapping algorithms produce dense
topological maps in which each image stands as a node in the topological graph. Sparser …

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 …

Most of the existing appearance based topological mapping algorithms produce dense
topological maps in which each image stands as a node in the topological graph. Sparser …