Vision-based 3D scene analysis for driver assistance

Darius Burschka, Gregory D. Hager

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a vision-based system for traffic sign detection and ego-motion estimation in road scenarios. The system is capable of autonomous scene reconstruction and classification. It is used to pre-select candidate surfaces in the vicinity of the road that should be inspected more closely by a sign recognition system. We compare two approaches based on a binocular and a monocular camera system, respectively. We discuss their advantages and disadvantages for applications in driver assistance systems.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 IEEE International Conference on Robotics and Automation
Pages812-818
Number of pages7
DOIs
StatePublished - Dec 1 2005
Event2005 IEEE International Conference on Robotics and Automation - Barcelona, Spain
Duration: Apr 18 2005Apr 22 2005

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Volume2005
ISSN (Print)1050-4729

Other

Other2005 IEEE International Conference on Robotics and Automation
CountrySpain
CityBarcelona
Period4/18/054/22/05

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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