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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Journal ArticleDOI
Fahrerassistenzsysteme basierend auf Bildsensorik
Martin Mühlenberg,Tilman Seubert +1 more
TL;DR: Bildsensoren haben gute Chancen, sich neben Radar and Laserbasierten Sensorsystemen zu etablieren. as discussed by the authors ermoglichen die optische Detektion von Objekten and Merkmalen im Verkehrsraum, die sich with anderen physikalischen Sensorprinzipien nur schwer oder uberhaupt nicht detektieren lassen and konnen somit Assistenzysteme der nachsten Generation wirk
Book ChapterDOI
A robust lane detection approach based on MAP estimate and particle swarm optimization
Yong Zhou,Xiaofeng Hu,Qingtai Ye +2 more
TL;DR: A robust lane detection approach that is primary and essential for driver assistance systems is proposed to handle the situations where the lane boundaries in an image have relatively weak local contrast, or where there are strong distracting edges.
Journal Article
Development of Binocular Stereopsis for Vehicle Lateral Control, Longitudinal Control and Obstacle Detection
TL;DR: In this article, the authors describe progress in the application of computer vision techniques to the lateral and longitudinal control of an autonomous highway vehicle and present a vehicle's lateral dynamics and the design of an appropriate controller for lateral control are investigated.
Learning-based vision and its application to autonomous indoor navigation
John J. Weng,Shaoyun Chen +1 more
TL;DR: In this article, a self-organizing hierarchical optimal subspace learning and inference framework (SHOSLIF-N) is proposed to solve the local minimum problem in vision-based navigation.
Proceedings ArticleDOI
Fast unstructured road detection and tracking from monocular video
TL;DR: A fast particle filer based unstructured road detection and tracking algorithm that can detect and track the road robustly in various unstructuring environments within real time is presented.
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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