RT Book, Section
T1 Environmental perception for intelligent vehicles
A1 Armingol, José M.
A1 Alfonso, Jorge
A1 Aliane, Nourdine
A1 Clavijo, Miguel
A1 Campos-Cordobés, Sergio
A1 de la Escalera, Arturo
A1 del Ser, Javier
A1 Fernández, Javier
A1 García, Fernando
A1 Jiménez, Felipe
A1 López, Antonio M.
A1 Mata, Mario
A1 Martín, David
A1 Menéndez, José M.
A1 Sánchez-Cubillo, Javier
A1 Vázquez, David
A1 Villalonga, Gabriel
AB Environmental perception represents, because of its complexity, a challenge for Intelligent Transport Systems due to the great variety of situations and different elements that can happen in road environments and that must be faced by these systems. In connection with this, so far there are a variety of solutions as regards sensors and methods, so the results of precision, complexity, cost, or computational load obtained by these works are different. In this chapter some systems based on computer vision and laser techniques are presented. Fusion methods are also introduced in order to provide advanced and reliable perception systems.
PB Elsevier
SN 9780128131084
SN 9780128128008
YR 2017
FD 2017-01-01
LK https://hdl.handle.net/11556/2411
UL https://hdl.handle.net/11556/2411
LA eng
NO Armingol , J M , Alfonso , J , Aliane , N , Clavijo , M , Campos-Cordobés , S , de la Escalera , A , del Ser , J , Fernández , J , García , F , Jiménez , F , López , A M , Mata , M , Martín , D , Menéndez , J M , Sánchez-Cubillo , J , Vázquez , D & Villalonga , G 2017 , Environmental perception for intelligent vehicles . in Intelligent Vehicles : Enabling Technologies and Future Developments . Elsevier , pp. 23-101 . https://doi.org/10.1016/B978-0-12-812800-8.00002-3
NO Publisher Copyright: © 2018 Elsevier Inc. All rights reserved.
DS TECNALIA Publications
RD 29 jul 2024