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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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Proceedings ArticleDOI

A Generic Temporal Integration Approach for Enhancing Feature-based Road-detection Systems

TL;DR: This paper presents a real-time capable approach for improving the road detection results for this type of state-of-the-art systems by adding a generic postprocessing step using a temporal integration approach based on the bird's eye view.
Proceedings ArticleDOI

Vision for longitudinal vehicle control

TL;DR: In this paper, the authors investigate the possibility of using stereo vision to provide the range information, in conjunction with a scanning laser radar sensor, in order to maintain a fixed distance from a lead vehicle using feedback provided by range sensors.
Proceedings ArticleDOI

Robust lane detection based on gradient direction

TL;DR: A robust and effective method to detect lane in the images captured with a vehicle-mounted monocular camera in challenging environments is proposed in this paper and the experimental results show that the method works more robustly and accurately in various situations.
Proceedings ArticleDOI

Automatic generation of a highly accurate map for driver assistance systems in road construction sites

TL;DR: The paper describes the automatic generation of a detailed and highly accurate “Road Work Map” using video camera and laser scanners for driver assistance systems for road construction sites.
Journal Article

Road-boundary detection and tracking using ladar sensing.

TL;DR: This paper proposes a novel method based on extended Kalman filtering for fast detection and tracking of road curbs using successive range/bearing readings obtained from a scanning two-dimensional ladar measurement system, the first of its kind reported in the literature.
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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