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Environment perception based on LIDAR sensors for real road applications

Published online by Cambridge University Press:  24 May 2011

F. García ,
F. Jiménez ,
J. E. Naranjo ,
J. G. Zato ,
F. Aparicio ,
J. M. Armingol  and
A. de la Escalera
F. García*
Affiliation:
Universidad Carlos III de Madrid, Laboratorio de Sistemas Inteligentes Avda, De La Universidad 30, 28911 Leganés (Madrid), Spain
F. Jiménez
Affiliation:
Universidad Politécnica de Madrid, INSIA, Carretera de Valencia, km.7, 28031 Madrid, Spain
J. E. Naranjo
Affiliation:
Universidad Politécnica de Madrid, E.U. de Informática, Carretera de Valencia, km.7, 28031 Madrid, Spain
J. G. Zato
Affiliation:
Universidad Politécnica de Madrid, E.U. de Informática, Carretera de Valencia, km.7, 28031 Madrid, Spain
F. Aparicio
Affiliation:
Universidad Politécnica de Madrid, INSIA, Carretera de Valencia, km.7, 28031 Madrid, Spain
J. M. Armingol
Affiliation:
Universidad Carlos III de Madrid, Laboratorio de Sistemas Inteligentes Avda, De La Universidad 30, 28911 Leganés (Madrid), Spain
A. de la Escalera
Affiliation:
Universidad Carlos III de Madrid, Laboratorio de Sistemas Inteligentes Avda, De La Universidad 30, 28911 Leganés (Madrid), Spain
*
*Corresponding author. E-mail: [email protected]
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Summary

The recent developments in applications that have been designed to increase road safety require reliable and trustworthy sensors. Keeping this in mind, the most up-to-date research in the field of automotive technologies has shown that LIDARs are a very reliable sensor family. In this paper, a new approach to road obstacle classification is proposed and tested. Two different LIDAR sensors are compared by focusing on their main characteristics with respect to road applications. The viability of these sensors in real applications has been tested, where the results of this analysis are presented.

Keywords

Data fusionIntelligent vehiclesADASLIDAR
Type
Articles
Information
Robotica , Volume 30 , Issue 2 , March 2012 , pp. 185 - 193
Copyright
Copyright © Cambridge University Press 2011

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