TY  - CHAP
AU  - Jose M. Armingol
AU  - Jorge Alfonso
AU  - Nourdine Aliane
AU  - Miguel Clavijo
AU  - Sergio Campos-Cordobes
AU  - Arturo de la Escalera
AU  - Javier del Ser
AU  - Javier Fernandez
AU  - Fernando Garcia
AU  - Felipe Jimenez
AU  - Antonio Lopez
AU  - Mario Mata
PY  - 2018//
TI  - Environmental Perception for Intelligent Vehicles
BT  - Intelligent Vehicles. Enabling Technologies and Future Developments
SP  - 23–101
KW  - Computer vision
KW  - laser techniques
KW  - data fusion
KW  - advanced driver assistance systems
KW  - traffic monitoring systems
KW  - intelligent vehicles
N2  - 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.
UR  - https://doi.org/10.1016/B978-0-12-812800-8.00002-3
UR  - http://dx.doi.org/10.1016/B978-0-12-812800-8.00002-3
N1  - ADAS; 600.118
ID  - Jose M. Armingol2018
ER  -