In recent years, the development of ground robots with human-like perception capabilities
has led to the use of multiple sensors, including cameras, lidars, and radars, along with …

The ability to navigate unstructured environments is an essential task for intelligent systems.
Autonomous navigation by ground vehicles requires developing an internal representation …

This study focuses on the autonomous navigation and mapping of indoor environments
using a drone equipped only with a monocular camera and height measurement sensors. A …

Enabling mobile robots to explore the formerly unidentified environment is a challenging
task. The current paper describes the internal analysis algorithm for mobile robots that …

Currently, mobile robots are developing rapidly and are finding numerous applications in the
industry. However, several problems remain related to their practical use, such as the need …

Accurate navigation is crucial to successfully deploying autonomous vehicles but is often
limited by GPS reliance. The purpose of this thesis was to develop an image-based …

The 3D depth estimation and relative pose estimation problem within a decentralized
architecture is a challenging problem that arises in missions that require coordination …

This work addresses the problem of mapping terrain features based on inertial and LiDAR
measurements to estimate navigation cost, for an autonomous ground robot. The navigation …

This paper presents a study on the development of an obstacle-avoidance navigation
system for autonomous navigation in home environments. The system utilizes vision-based …

Two common methods exist for solving indoor autonomous navigation and obstacle-
avoidance problems using monocular vision: the traditional simultaneous localization and …