TY - GEN
T1 - 3DCoAutoSim: Simulator for Cooperative ADAS and Automated Vehicles
AU - Hussein, Ahmed
AU - Díaz-Álvarez, Alberto
AU - Armingol, José María
AU - Olaverri-Monreal, Cristina
PY - 2018/11
Y1 - 2018/11
N2 - The field of intelligent technologies that range
from intelligent control systems to wireless communications
and sensing technologies is rapidly increasing, advancing thus
the research on the Intelligent Transportation Systems (ITS)
field and the related innovative intermodal transport services,
traffic management and road safety. Driving simulators make it
possible to study driver reactions in a controlled environment.
Accordingly, this paper presents the design and development
of a flexible, modular tailored simulation tool to the specific
requirements for investigating the effect of automation and V2X
communication on drivers. Moreover, the simulator is linked
to Simulation of Urban MObility (SUMO) for micro traffic
emulations and connected to Robot Operating System (ROS)
for architecture management and nodes handling. The proposed
simulator was validated through various driving experiments,
which were carried out over a selected scenario trajectory.
The obtained results were compared with the results from
field tests and different path tracking algorithms for automated
driving showing the outcome a good performance and efficient
functionality.
AB - The field of intelligent technologies that range
from intelligent control systems to wireless communications
and sensing technologies is rapidly increasing, advancing thus
the research on the Intelligent Transportation Systems (ITS)
field and the related innovative intermodal transport services,
traffic management and road safety. Driving simulators make it
possible to study driver reactions in a controlled environment.
Accordingly, this paper presents the design and development
of a flexible, modular tailored simulation tool to the specific
requirements for investigating the effect of automation and V2X
communication on drivers. Moreover, the simulator is linked
to Simulation of Urban MObility (SUMO) for micro traffic
emulations and connected to Robot Operating System (ROS)
for architecture management and nodes handling. The proposed
simulator was validated through various driving experiments,
which were carried out over a selected scenario trajectory.
The obtained results were compared with the results from
field tests and different path tracking algorithms for automated
driving showing the outcome a good performance and efficient
functionality.
UR - https://www.scopus.com/pages/publications/85057630074
U2 - 10.1109/ITSC.2018.8569512
DO - 10.1109/ITSC.2018.8569512
M3 - Conference proceedings
T3 - 21st International Conference on Intelligent Transportation Systems (ITSC)
SP - 3014
EP - 3019
BT - The 21st IEEE International Conference on Intelligent Transportation Systems (ITSC2018)
A2 - IEEE, null
ER -
