Environmental perception for intelligent vehicles

Jose M. Armingol; Jorge Alfonso; Nourdine Aliane; Miguel Clavijo; Sergio Campos-Cordobés; Arturo de la Escalera; Javier del Ser; Javier Fernández; Fernando García; Felipe Jiménez; Antonio M. López; Mario Mata; David Martín; José M. Menéndez; Javier Sanchez-Cubillo; Davi Vázquez; Gabrie Villalonga

doi:10.1016/B978-0-12-812800-8.00002-3

Environmental perception for intelligent vehicles

Jose M. Armingol, Jorge Alfonso, Nourdine Aliane, Miguel Clavijo, Sergio Campos-Cordobés, Arturo de la Escalera, Javier del Ser, Javier Fernández, Fernando García, Felipe Jiménez, Antonio M. López, Mario Mata, David Martín, José M. Menéndez, Javier Sanchez-Cubillo, Davi Vázquez, Gabrie Villalonga

Research output: Chapter in Book/Report/Conference proceeding › Chapter

8 Citations (Scopus)

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.

Original language	English
Title of host publication	Intelligent Vehicles: Enabling Technologies and Future Developments
Editors	Felipe Jiménez
Place of Publication	Oxford
Publisher	Elsevier B.V.
Chapter	2
Pages	23-101
Number of pages	79
ISBN (Electronic)	9780128128008
ISBN (Print)	9780128131084
DOIs	https://doi.org/10.1016/B978-0-12-812800-8.00002-3
Publication status	Published - 15 Sept 2017

Keywords

environmental perception
intelligent vehicles
intelligent transportation systems
ITS

Documents and Links

10.1016/B978-0-12-812800-8.00002-3

Cite this

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., Sanchez-Cubillo, J., Vázquez, D., & Villalonga, G. (2017). Environmental perception for intelligent vehicles. In F. Jiménez (Ed.), Intelligent Vehicles: Enabling Technologies and Future Developments (pp. 23-101). Elsevier B.V.. https://doi.org/10.1016/B978-0-12-812800-8.00002-3

@inbook{24602f06c4c842f1a75db7139dfe0959,

title = "Environmental perception for intelligent vehicles",

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.",

keywords = "environmental perception, intelligent vehicles, intelligent transportation systems, ITS",

author = "Armingol, {Jose M.} and Jorge Alfonso and Nourdine Aliane and Miguel Clavijo and Sergio Campos-Cordob{\'e}s and {de la Escalera}, Arturo and {del Ser}, Javier and Javier Fern{\'a}ndez and Fernando Garc{\'i}a and Felipe Jim{\'e}nez and L{\'o}pez, {Antonio M.} and Mario Mata and David Mart{\'i}n and Men{\'e}ndez, {Jos{\'e} M.} and Javier Sanchez-Cubillo and Davi V{\'a}zquez and Gabrie Villalonga",

year = "2017",

month = sep,

day = "15",

doi = "10.1016/B978-0-12-812800-8.00002-3",

language = "English",

isbn = "9780128131084",

pages = "23--101",

editor = "Felipe Jim{\'e}nez",

booktitle = "Intelligent Vehicles: Enabling Technologies and Future Developments",

publisher = "Elsevier B.V.",

address = "Netherlands",

}

Armingol, JM, Alfonso, J, Aliane, N, Clavijo, M, Campos-Cordobés, S, de la Escalera, A, del Ser, J, Fernández, J, García, F, Jiménez, F, López, AM, Mata, M, Martín, D, Menéndez, JM, Sanchez-Cubillo, J, Vázquez, D & Villalonga, G 2017, Environmental perception for intelligent vehicles. in F Jiménez (ed.), Intelligent Vehicles: Enabling Technologies and Future Developments. Elsevier B.V., Oxford, pp. 23-101. https://doi.org/10.1016/B978-0-12-812800-8.00002-3

TY - CHAP

T1 - Environmental perception for intelligent vehicles

AU - Armingol, Jose M.

AU - Alfonso, Jorge

AU - Aliane, Nourdine

AU - Clavijo, Miguel

AU - Campos-Cordobés, Sergio

AU - de la Escalera, Arturo

AU - del Ser, Javier

AU - Fernández, Javier

AU - García, Fernando

AU - Jiménez, Felipe

AU - López, Antonio M.

AU - Mata, Mario

AU - Martín, David

AU - Menéndez, José M.

AU - Sanchez-Cubillo, Javier

AU - Vázquez, Davi

AU - Villalonga, Gabrie

PY - 2017/9/15

Y1 - 2017/9/15

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.

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.

KW - environmental perception

KW - intelligent vehicles

KW - intelligent transportation systems

KW - ITS

U2 - 10.1016/B978-0-12-812800-8.00002-3

DO - 10.1016/B978-0-12-812800-8.00002-3

M3 - Chapter

SN - 9780128131084

SP - 23

EP - 101

BT - Intelligent Vehicles: Enabling Technologies and Future Developments

A2 - Jiménez, Felipe

PB - Elsevier B.V.

CY - Oxford

ER -

Environmental perception for intelligent vehicles

Abstract

Keywords

Documents and Links

Fingerprint

Cite this