On-Board Video Based System for Robust Road Modeling

Nieto Doncel, Marcos and Arróspide Laborda, Jon and Salgado Álvarez de Sotomayor, Luis and Jaureguizar Núñez, Fernando (2008). On-Board Video Based System for Robust Road Modeling. In: "IEEE International Workshop Content-Based Multimedia Indexing, CBMI 2008", 18/06/2008-20/06/2008, Londres, Reino Unido. ISBN 978-1-4244-2043-8.

Description

Title: On-Board Video Based System for Robust Road Modeling
Author/s:
  • Nieto Doncel, Marcos
  • Arróspide Laborda, Jon
  • Salgado Álvarez de Sotomayor, Luis
  • Jaureguizar Núñez, Fernando
Item Type: Presentation at Congress or Conference (Article)
Event Title: IEEE International Workshop Content-Based Multimedia Indexing, CBMI 2008
Event Dates: 18/06/2008-20/06/2008
Event Location: Londres, Reino Unido
Title of Book: Proceedings of IEEE International Workshop Content-Based Multimedia Indexing, CBMI 2008
Date: 2008
ISBN: 978-1-4244-2043-8
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this paper, a novel road modeling strategy is proposed, defining an accurate and robust system that operates in realtime. The strategy aims to find a trade-off between computational requirements of real systems and accuracy and robustness of the results. The basis of the strategy is an adaptive road segmentation technique which ensures robust detections of lane markings and vehicles. A multiple lane model of the road is obtained by asserting hypotheses of lanes geometry based on perspective analysis and stochastic filtering. This multiple lane approach significantly improves vehicle location compared to other video-based works, as detected vehicles are accurately located within lanes. Tests show the adaptability, robustness and accuracy of the system in daylight situations with severe illumination changes, non-homogeneous color of the pavement of the road, lane markings occlusions, shadows, variable traffic conditions, etc., performing in real-time in all cases.

More information

Item ID: 3800
DC Identifier: http://oa.upm.es/3800/
OAI Identifier: oai:oa.upm.es:3800
Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04564935
Deposited by: Memoria Investigacion
Deposited on: 29 Jul 2010 11:30
Last Modified: 20 Apr 2016 13:16
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