In this work, an algorithm to control the autonomous quadcopter flight along the railway,
without an operator and without the use of satellite navigation systems has been developed …

Nowadays, artificial intelligence is developing rapidly, and greatly promotes the appearance
of relevant industries. Automated driving is one of those hot industries. With the development …

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 …

This document describes the objectives, research methodologies, ongoing activities,
pending implementation schedule, theoretical references and partial results of the ongoing …

The technology for autonomy in vehicles has a momentous advancement. Autonomous
ground vehicles (AGV) for off-the-road applications will aid various sectors of the society …

In this paper we propose the use of Multiple Decision Attributes and Fuzzy Sets so that it is
possible to classify the importance and priority of the detected traffic signs. The Analytic …

Autonomous driving has become a popular area of research in recent years, with accurate
perception and recognition of the environment being critical for successful implementation …

This paper presents a complete review of computer vision algorithms and vision-based
intelligent applications, that are developed in the field of the Unmanned Aerial Vehicles …

Inspired by the advantages of the hierarchical feature extraction of deep learning, this work
investigates the development of a Convolutional Neural Network (CNN) algorithm to solve …

Path tracking controller of Autonomous Vehicles (AVs) plays an important role in improving
the dynamic behaviour of the vehicle. Model Predictive Control (MPC) is one the most …