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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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Journal ArticleDOI

Road Detection and Vehicle Tracking by Vision for Adaptive Cruise Control

TL;DR: In this paper, the circulation lane of a vehicle is detected by onboard monocular vision and a reconstruction algorithm computes the vehicle location on its lane and the three-dimensional shape of the road.
Proceedings ArticleDOI

Vision-based lane detection and tracking for driver assistance systems: A survey

TL;DR: In this paper, a review of vision-based lane detection and tracking methods complemented with other sensor information when necessary is presented and compared according to the separate functional modules in a generic framework.
Proceedings ArticleDOI

Probabilistic road geometry estimation using a millimetre-wave radar

TL;DR: A probabilistic framework for road geometry estimation using a millimetre wave radar that is robust to noisy measurements since the radar target locations are modelled as Gaussian distributions.
Proceedings ArticleDOI

Detection of discontinuities of road curvature change by GLR

R. Behringer
TL;DR: In this paper, a new approach for spatial segmentation of a curved road for visual road recognition in far look-ahead distance, implemented in the autonomous road vehicle VaMP (a passenger car), is described.
Proceedings ArticleDOI

Learning visual object definitions by observing human activities

TL;DR: An object recognition algorithm, FOCUS, for finding object classifications through use and structure by learning structural properties of objects by knowing first the object's affordance properties and observing humans interacting with that object with known activities is presented.
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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