FAST AND ACCURATE STEREO VISION-BASED ESTIMATION OF 3D POSITION AND AXIAL MOTION OF ROAD OBSTACLES
- 1 January 2004
- journal article
- research article
- Published by World Scientific Pub Co Pte Ltd in International Journal of Image and Graphics
- Vol. 04 (01) , 99-125
- https://doi.org/10.1142/s0219467804001312
Abstract
In this article, we present a fast and accurate stereo vision-based system that detects and tracks road obstacles, as well as computes their 3D position and their axial motion. To do so, axial motion maps are constructed and the inclination angles of 3D straight segments are computed. 3D straight segments are obtained after the construction of 3D sparse maps based on dynamic programming and multi-criteria analysis. Axial motion maps are computed from a sequence of dense 3D maps without region matching.Keywords
This publication has 8 references indexed in Scilit:
- Vision-based intelligent vehicles: State of the art and perspectivesRobotics and Autonomous Systems, 2000
- ARGO and the MilleMiglia in Automatico TourIEEE Intelligent Systems and their Applications, 1999
- Autonomous driving goes downtownIEEE Intelligent Systems and their Applications, 1998
- GOLD: a parallel real-time stereo vision system for generic obstacle and lane detectionIEEE Transactions on Image Processing, 1998
- Fast and automatic stereo vision matching algorithm based on dynamic programming methodPattern Recognition Letters, 1996
- Rapidly adapting machine vision for automated vehicle steeringIEEE Expert, 1996
- Fast and self-adaptive image segmentation using extended declivityAnnals of Telecommunications, 1995
- 3-D translational motion and structure from binocular image flowsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993