RT Conference Proceedings
T1 AUDRIC2: 												A Modular and Highly Interconnected Automated Driving Framework Focus on Decision Making and Vehicle Control
A1 Lattarulo, Ray
A1 Hidalgo, Carlos
A1 Arizala, Asier
A1 Perez, Joshue
AB Last years, automated vehicle technologies made considerable progress in academia and the industry. However, there is still a need for more scalable solutions which ensure fast progress between the prototypes and the final deployments. In this sense, this work introduces the updated version of the AUtomated DRIving Core framework (AUDRIC), which aims for robust and reliable vehicle decision-making and control algorithms. The solution is modular and provides MATLAB and ROS interfaces. Also, it has the integration links between the CARLA simulator and Dynacar (in-house simulator). The Autoware. AI framework was integrated to support vehicle perception. This framework targets non-holonomic ground vehicles, such as passenger cars, buses, shuttles, non-holonomic industrial AGV, etc. A simulation around Tecnalia premises was used to verify the provided functionalities (Basque Country, Spain). This framework will continue its development with the support of the European project SHOW. Vehicle cooperation functions are considered as an upcoming feature.
PB Institute of Electrical and Electronics Engineers Inc.
SN 9781728191423
YR 2021
FD 2021-09-19
LA eng
NO Lattarulo , R , Hidalgo , C , Arizala , A & Perez , J 2021 , AUDRIC2 : A Modular and Highly Interconnected Automated Driving Framework Focus on Decision Making and Vehicle Control . in 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 . IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC , vol. 2021-September , Institute of Electrical and Electronics Engineers Inc. , pp. 763-769 , 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 , Indianapolis , United States , 19/09/21 . https://doi.org/10.1109/ITSC48978.2021.9564640
NO conference
NO Publisher Copyright: © 2021 IEEE.
DS TECNALIA Publications
RD 28 sept 2024