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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Book
Interlacing Self-Localization, Moving Object Tracking and Mapping for 3D Range Sensors
TL;DR: A solution for autonomous vehicles to detect arbitrary moving traffic participants and to precisely determine the motion of the vehicle is presented, based on three-dimensional images captured with modern range sensors like e.g. high-resolution laser scanners.
3-D Motion and Structure Estimation Using Inertial Sensors and Computer Vision for Augmented Reality
TL;DR: A new method for registration in augmented reality (AR) was developed that simultaneously tracks the position, orientation, and motion of the user’s head, as well as estimating the three-dimensional (3-D) structure of the scene.
Research on an autonomous vision-guided helicopter
TL;DR: Integration of computer vision with on-board sensors to autonomously fly helicopters was researched and custom designed vision processing hardware and an indoor testbed provided convenient calibrated experimentation in constructing real autonomous systems.
Proceedings ArticleDOI
Model-based recognition of intersections and lane structures
TL;DR: In preparation of an appropriate selection and instantiation of a generic lane structure model, the authors use model-based machine vision in order to estimate the location of incoming as well as outgoing lanes at an intersection.
Journal ArticleDOI
Lane Marking Detection and Reconstruction with Line-Scan Imaging Data
TL;DR: The findings indicate the new strategy is robust in image binarization and lane marking localization and would be beneficial in road lane-based pavement condition evaluation such aslane-based rutting measurement and crack classification.
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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