RT Journal Article
T1 A Review of Sensor Technologies for Perception in Automated Driving
A1 Marti, Enrique David
A1 de Miguel, Miguel Angel
A1 Garcia, Fernando
A1 Perez, Joshue
AB After more than 20 years of research, ADAS are common in modern vehicles available in the market. Automated Driving systems, still in research phase and limited in their capabilities, are starting early commercial tests in public roads. These systems rely on the information provided by on-board sensors, which allow to describe the state of the vehicle, its environment and other actors. Selection and arrangement of sensors represent a key factor in the design of the system. This survey reviews existing, novel and upcoming sensor technologies, applied to common perception tasks for ADAS and Automated Driving. They are put in context making a historical review of the most relevant demonstrations on Automated Driving, focused on their sensing setup. Finally, the article presents a snapshot of the future challenges for sensing technologies and perception, finishing with an overview of the commercial initiatives and manufacturers alliances that will show future market trends in sensors technologies for Automated Vehicles.
SN 1939-1390
YR 2019
FD 2019-09-23
LA eng
NO Marti , E D , de Miguel , M A , Garcia , F & Perez , J 2019 , ' A Review of Sensor Technologies for Perception in Automated Driving ' , IEEE Intelligent Transportation Systems Magazine , vol. 11 , no. 4 , 8846569 , pp. 94-108 . https://doi.org/10.1109/mits.2019.2907630
NO Publisher Copyright: © 2009-2012 IEEE.
NO This work has been partly supported by ECSEL Project ENABLE-S3 (with grant agreement number 692455-2), by the Spanish Government through CICYT projects (TRA2015-63708-R and TRA2016-78886-C3-1-R).
DS TECNALIA Publications
RD 1 jul 2024