Memorias de investigación
Research Publications in journals:
Road environment modeling using robust perspective analysis and recursive Bayesian segmentation
Year:2011
Research Areas
  • Processing and signal analysis
Information
Abstract
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.
International
Si
JCR
Si
Title
MACHINE VISION AND APPLICATIONS
ISBN
0932-8092
Impact factor JCR
1,549
Impact info
Volume
22
10.1007/s00138-010-0287-7
Journal number
6
From page
927
To page
945
Month
ENERO
Ranking
46/108 (Q2) COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 9/19 (Q2) COMPUTER SCIENCE, CYBERNETICS 70/247 (Q2) ENGINEERING, ELECTRICAL & ELECTRONIC
Participants
Research Group, Departaments and Institutes related
  • Creador: Departamento: Señales, Sistemas y Radiocomunicaciones