Environmental perception for intelligent vehicles

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Abstract
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.
Description
Publisher Copyright: © 2018 Elsevier Inc. All rights reserved.
Keywords
Advanced driver assistance systems, Computer vision, Data fusion, Laser techniques, Traffic monitoring systemsvehicles, General Engineering, SDG 11 - Sustainable Cities and Communities
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book part
Citation
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