The paper describes the design, implementation and user evaluation of utility-based and
goal-based intelligent learning agents for smart shopping cart. In keeping user's shopping …

This paper presents an innovative solution for the traffic optimization problem, for an
autonomous quadcopter Unmanned Aerial Vehicle (UAV). The overall purpose of this work …

During this thesis, some perception approaches for self-driving vehicles were developed
using de convolutional neural networks applied to monocular camera images and High …

Autonomous vehicles (AVs) are equipped with a rich set of sensors, such as radar, light
detection and ranging (LIDAR), global positioning system (GPS), odometer, and camera …

Autonomous cars and fixed-wing aerial vehicles (FWV) have the so-called non-holonomic
kinematics which non-linearly maps control input to states. As a result, trajectory optimization …

The automotive industry is heading towards the introduction of fully autonomous vehicles.
However, before this type of vehicles are commercially available at mass scale, some issues …

In this IoT-connected vehicular network, a robotic system is distributed at the global scale
and oriented towards establishing Robot-Enabled Networks for personal mobility but also …

Mobile robots are already playing a pivotal role in our society. New innovative systems are
emerging, while autonomous driving's software is evolving thanks to Deep Learning (DL). In …

This chapter presents a summary of AVS 2017 Breakout Session 13, Challenges and
Opportunities for the Intersection of Vulnerable Road Users (VRUs) and AVs. This session …

La recherche sur la conduite autonome a débuté depuis plusieurs décennies. Cependant,
elle s' est récemment intensifiée, surtout au niveau de l'industrie, grâce notamment aux …