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Journal ArticleDOI

Recursive 3-D road and relative ego-state recognition

E.D. Dickmanns, +1 more
- 01 Feb 1992 - 
- Vol. 14, Iss: 2, pp 199-213
TLDR
The general problem of recognizing both horizontal and vertical road curvature parameters while driving along the road has been solved recursively and a differential geometry representation decoupled for the two curvature components has been selected.
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. >

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Citations
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Vehicle Localization and Discrimination in Outdoor Traffic Scene

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Proceedings ArticleDOI

Traffic Lane Localization using Clothoid Road Model

TL;DR: In this paper , a clothoid road model has been adapted to define the motion path for a vehicle over the cubic spline and trigonometric spline model due to its ease in tracking and linear steering motion.
Journal ArticleDOI

Road Course Prediction Using Radar Objects and “Bezier-Splines”

TL;DR: An approach to predict the road course with actual measured radar objects combined with an “Adaptive Cruise Control"-System that is resistant to weather influences and hardly or non visible road markings.

Reconstruct from BEV: A 3D Lane Detection Approach based on Geometry Structure Prior

TL;DR: In this article , the geometry prior information was employed for detecting 3D lanes in an extra-long distance, doubling the original detection range, which greatly eases the confusion of distant lane features in previous methods.
References
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Journal ArticleDOI

Estimation of Object Motion Parameters from Noisy Images

TL;DR: An approach is presented for the estimation of object motion parameters based on a sequence of noisy images that may be of use in situations where it is difficult to resolve large numbers of object match points, but relatively long sequences of images are available.
Journal ArticleDOI

Dynamic monocular machine vision

TL;DR: A new approach to real-time machine vision in dynamic scenes is presented based on special hardware and methods for feature extraction and information processing using integral spatio-temporal models that by-passes the nonunique inversion of the perspective projection by applying recursive least squares filtering.
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