Journal ArticleDOI
Recursive 3-D road and relative ego-state recognition
E.D. Dickmanns,B.D. Mysliwetz +1 more
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. >read more
Citations
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Proceedings ArticleDOI
A marking-based, Flexible approach to intersection detection
TL;DR: This paper describes a flexible, marking-based approach to intersection detection using edge contours extracted from an image acquired with an onboard camera and mapped to the flat earth model so as to remove the effect of the perspective mapping.
Fusing imagefeatures andnavigation system dataforaugmenting guiding information displays
TL;DR: In this paper, a system is presented which extracts the lanes using particle filters and a rule-base to overlay the video images with the guiding information from a navigation system atthe corresponding position.
Journal Article
Adaptive methods of moving car detection in monocular image sequences
TL;DR: This paper focuses on the moving object detection/tracking task on four different data abstraction levels: image segmentation, 2D object tracking, model-based 3D objecttracking and multi-object traffic scene description.
Book ChapterDOI
Towards Smarter Cars
TL;DR: An automotive application of a range camera capable of automatically keeping the car at an adequate distance or warning the driver in case of dangerous situations to increase safety on motorways is focused on.
Using virtual active vision tools to improve autonomous driving tasks
TL;DR: Virtual Active Vision tools will improve the capabilities of neural network based autonomous driving systems by applying geometric transformations to the input image and the output steering vector.
References
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Journal ArticleDOI
Estimation of Object Motion Parameters from Noisy Images
Ted J. Broida,Rama Chellappa +1 more
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
Ernst D. Dickmanns,Volker Graefe +1 more
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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