Environment perception based on lidar sensors for real road applications

Authors:
F. García;F. Jiménez;J. E. Naranjo;J. G. Zato;F. Aparicio;J. M. Armingol;A. De La Escalera
Affiliations:
Universidad carlos iii de madrid, laboratorio de sistemas inteligentes avda, de la universidad 30, 28911 leganés (madrid), spain;Universidad politécnica de madrid, insia, carretera de valencia, km.7, 28031 madrid, spain;Universidad politécnica de madrid, e.u. de informática, carretera de valencia, km.7, 28031 madrid, spain;Universidad politécnica de madrid, e.u. de informática, carretera de valencia, km.7, 28031 madrid, spain;Universidad politécnica de madrid, insia, carretera de valencia, km.7, 28031 madrid, spain;Universidad carlos iii de madrid, laboratorio de sistemas inteligentes avda, de la universidad 30, 28911 leganés (madrid), spain;Universidad carlos iii de madrid, laboratorio de sistemas inteligentes avda, de la universidad 30, 28911 leganés (madrid), spain
Venue:
Robotica
Year:
2012

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Abstract

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.