On-road vehicle detection: a review
Top Cited Papers
- 20 March 2006
- journal article
- review article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 28 (5) , 694-711
- https://doi.org/10.1109/tpami.2006.104
Abstract
Developing on-board automotive driver assistance systems aiming to alert drivers about driving environments, and possible collision with other vehicles has attracted a lot of attention lately. In these systems, robust and reliable vehicle detection is a critical step. This paper presents a review of recent vision-based on-road vehicle detection systems. Our focus is on systems where the camera is mounted on the vehicle rather than being fixed such as in traffic/driveway monitoring systems. First, we discuss the problem of on-road vehicle detection using optical sensors followed by a brief review of intelligent vehicle research worldwide. Then, we discuss active and passive sensors to set the stage for vision-based vehicle detection. Methods aiming to quickly hypothesize the location of vehicles in an image as well as to verify the hypothesized locations are reviewed next. Integrating detection with tracking is also reviewed to illustrate the benefits of exploiting temporal continuity for vehicle detection. Finally, we present a critical overview of the methods discussed, we assess their potential for future deployment, and we present directions for future research.Keywords
This publication has 90 references indexed in Scilit:
- The development of machine vision for road vehicles in the last decadePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A trinocular stereo system for highway obstacle detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Robust vehicle detection at large distance using low resolution camerasPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Artificial vision in road vehiclesProceedings of the IEEE, 2002
- Keeping cars from crashingIEEE Spectrum, 2001
- Real time vision for intelligent vehiclesIEEE Instrumentation & Measurement Magazine, 2001
- Vision-based intelligent vehicles: State of the art and perspectivesRobotics and Autonomous Systems, 2000
- Intelligent vehicle applications worldwideIEEE Intelligent Systems and their Applications, 2000
- Vision-based vehicle guidanceComputer, 1997
- A multiple-baseline stereoPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993