Autonomous mobile robots rely on knowing the 3D structure of their environment in order to
plan and operate safely. This paper addresses the problem of estimating depth maps from …

Ground plane detection is essential for successful navigation of vision based mobile robots.
We introduce a very simple but robust ground plane detection method based on depth …

Navigation and orientation in an indoor environment is a challenging task for visually
impaired people. This paper proposes a portable vision-based system to provide support for …

Collaborative navigation is the most promising technique for infrastructure-free indoor
navigation for a group of pedestrians, such as rescue personnel. Infrastructure-free …

Significant research issues and experimental possibilities on autonomous vehicles are in
vogue around the world. Among these, collision-free navigation has constituted one of the …

Learning how to navigate autonomously in an unknown indoor environment without
colliding with static and dynamic obstacles is important for mobile robots. The conventional …

Currently, the use of Unmanned Aerial Vehicles (UAVs) in natural and complex
environments has been increasing, because they are appropriate and affordable solutions …

Simultaneous localization and mapping (SLAM) has been implemented as the standard
technique for introducing autonomy in mobile robots or vehicles irrespective of the …

The vast majority of indoor navigation algorithms either rely on manual scene augmentation
and labelling or exploit multi-sensor fusion techniques in achieving simultaneous …

Localization is one of the most challenging requirements needed for a mobile robots.
Successful localization represents success in meeting the other principal requirements, such …