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
A Real Time Synthesis of Driving Simulation Road Images
Kazunori Nohsoh,Shinji Ozawa +1 more
Patent
Vehicular control system with traffic lane detection
Kenneth Schofield,Niall R. Lynam +1 more
TL;DR: In this paper, a vehicular control system includes a forward viewing camera disposed at an in-cabin side of a windshield of a vehicle and viewing forward of the vehicle, which is determined responsive at least in part to processing by an image processor of image captured by the camera.
Off-line learning from perception for improving mission performance of autonomous vehicles
TL;DR: Procedures for evaluating estimation results checking the validity of the road map, and updating the landmark knowledge base are described, and identification mechanisms that are integrated into the navigation module are described.
Proceedings ArticleDOI
Adaptive Kalman filter approach for road geometry estimation
TL;DR: In this paper, an adaptive Kalman filter based method for accurate estimation of forward path geometry of an automobile is proposed, where the forward geometry is modeled as two contiguous clothoid segments with different geometries and continuous curvature across the transition between them.
Proceedings ArticleDOI
Adaptive Processing for Vision-Based Ranging
D. J. LeBlanc,N.H. McClamroch +1 more
TL;DR: This work explores the idea of adaptively trading spatial resolution and image rate to obtain accurate range estimation while simultaneously satisfying an upper limit on computation rate for a single feature.
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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