The study resulted in the main trends of neural network training and an analysis of potential
problems arising in the development of such networks. The research resulted in obstacle …

Convolutional neural networks (CNNs) are machine learning models accomplishing state of
the art results in a variety of computer vision tasks, decision making and visual recognition …

In recent years, researches on autonomous mobile robots are being advanced, and among
them, practical use of automatic driving cars is expected particularly. In this realization, there …

The joint application of robotics and artificial vision for driving a car, it has been a very
important study in recent years, since a small loss of concentration can cause the vehicle to …

Abstract Unmanned Aerial Vehicles (UAVs) are used in several applications and they are
growing in popularity. Recent progress in unmanned aerial vehicles and artificial …

Currently, assisted vehicles depend on GPS to deliver accurate navigation during their drive,
making cellular network access essential to their function. Absence of network connectivity …

The aim of this thesis is to solve two problems: the. trajectory tracking and navigation, for
controlling the motion of unmanned ground vehicles (UGV). Such vehicles are usually used …

UGVs have been used to replace humans in high-risk tasks such as explore caverns,
minefields or places contaminated with radiation but also, they are used to research path …

Conceptual wise the word “Autonomous” associated with a machine means “a system that
works without any intervention of human being” hence in today's era majority of the jobs are …

An increase in the volume of vehicles in metropolitan areas increases various issues, ie,
traffic jams, pollution, parking issues, noise, security, and accidental causes. Heavy traffic …