Observatorio de I+D+i UPM

Descripción
Recently, vision-based advanced driver-assistance systems (ADAS) have received a new increased interest to enhance driving safety. In particular, due to its high performance¿ cost ratio, mono-camera systems are arising as the main focus of this field of work. In this paper we present a novel on-board road modeling and vehicle detection system, which is a part of the result of the European I-WAY project. The system relies on a robust estimation of the perspective of the scene, which adapts to the dynamics of the vehicle and generates a stabilized rectified image of the road plane. This rectified plane is used by a recursive Bayesian classifier, which classifies pixels as belonging to different classes corresponding to the elements of interest of the scenario. This stage works as an intermediate layer that isolates subsequent modules since it absorbs the inherent variability of the scene. The system has been tested on-road, in different scenarios, including varied illumination and adverse weather conditions, and the results have been proved to be remarkable even for such complex scenarios.
Internacional	Si
JCR del ISI	Si
Título de la revista	MACHINE VISION AND APPLICATIONS
ISSN	0932-8092
Factor de impacto JCR	1,549
Información de impacto
Volumen	22
DOI	10.1007/s00138-010-0287-7
Número de revista	6
Desde la página	927
Hasta la página	945
Mes	ENERO
Ranking	46/108 (Q2) COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 9/19 (Q2) COMPUTER SCIENCE, CYBERNETICS 70/247 (Q2) ENGINEERING, ELECTRICAL & ELECTRONIC

Esta actividad pertenece a memorias de investigación

• Autor: Marcos Nieto Doncel (Vicomtech-IK4, Research Alliance)
• Autor: Jon Arróspide Laborda (UPM)
• Autor: Luis Salgado Alvarez de Sotomayor (UPM)

• Creador: Departamento: Señales, Sistemas y Radiocomunicaciones