Recursive 3-D road and relative ego-state recognition
- 1 January 1992
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 14 (2) , 199-213
- https://doi.org/10.1109/34.121789
Abstract
The general problem of recognizing both horizontal and vertical road curvature parameters while driving along the road has been solved recursively. A differential geometry representation decoupled for the two curvature components has been selected. Based on the planar solution of E.D. Dickmanns and A. Zapp (1986) and its refinements, a simple spatio-temporal model of the driving process makes it possible to take both spatial and temporal constraints into account effectively. The estimation process determines nine road and vehicle state parameters recursively at 25 Hz (40 ms) using four Intel 80286 and one 386 microprocessors. Results with the test vehicle (VaMoRs), which is a 5-ton van, are given for a hilly country road.Keywords
This publication has 17 references indexed in Scilit:
- Dynamic Vision for Intelligent Motion ControlPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Motion based segmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Visual tracking of known three-dimensional objectsInternational Journal of Computer Vision, 1992
- Experiments in vehicle control using predictive feed-forward stereoImage and Vision Computing, 1990
- An integrated spatio-temporal approach to automatic visual guidance of autonomous vehiclesIEEE Transactions on Systems, Man, and Cybernetics, 1990
- Applications of dynamic monocular machine visionMachine Vision and Applications, 1988
- Dynamic monocular machine visionMachine Vision and Applications, 1988
- Bewegungssteuerung durch RechnersehenPublished by Springer Nature ,1988
- Estimation of Object Motion Parameters from Noisy ImagesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1986
- Two Multi-Processor Systems for Low-Level Real-Time VisionPublished by Springer Nature ,1984