%0 Journal Article 
%A Egido Sierra, Javier del
%A Pérez Gil, Óscar
%A López Guillén, María Elena
%A Barea Navarro, Rafael
%A Gutiérrez Moreno, Rodrigo
%A Bergasa Pascual, Luis Miguel
%T The Experience of Robesafe Team in CARLA Autonomous Driving Challenge
%D 2019
%U http://hdl.handle.net/10017/44907
%X The future of the automotive is focused on achieving total
autonomous cars in realistic urban environments. To reach it,
many researching teams are working with 3D simulators such as
V-REP and Gazebo, due to an easy integration with ROS
platform. ROS is a middle-ware for robot code development. It
allows easy communication between different systems. It is multilanguage, admitting C++ and Python code programming. Those
simulators provide precise motion information, but they are
designed for smaller environments like robotic arms, providing
unrealistic appearance and very slow performance, being
unrecommended for real-time systems in rich worlds like urban
cities. CARLA simulator provides high detailed environments in
realistic urban situations, being able to train and test control and
perception algorithms in complex traffic scenarios, very close to
real situations.
CARLA Autonomous Driving Challenge was launched in Summer
2019, allowing everyone to test their own control techniques under
the same traffic scenarios, scoring its performance regarding
traffic rules. Robesafe researching group, from Universidad de
Alcalá, submitted to this challenge, with the aim of achieving high
results and compare our control and perception techniques with
others provided by other teams.
%K Electrónica
%K Electronics
%~ Biblioteca Universidad de Alcala