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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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Patent

Street curb and median detection using LIDAR data

TL;DR: In this paper, a method of extracting street and road data from a dataset obtained using LIDAR techniques to scan a terrestrial region of the earth's surface of interest to form the dataset is presented.
Proceedings ArticleDOI

Model-based lane recognition

TL;DR: A model-based approach for the robustness of lane recognition is improved and the noise reduction based on narrowing a width of search area excluding noisy image features is proposed.
Proceedings ArticleDOI

Understanding purposeful human motion

TL;DR: This work employs a recursive framework for real-time, 3-D tracking of human motion that enables pixel-level, probabilistic processes to take advantage of the contextual knowledge encoded in the higher-level models, including models of dynamic constraints on human motion.
Proceedings ArticleDOI

Visual navigation using a single camera

TL;DR: A recently proposed recursive motion estimator, the Essential filter, is extended to handle scale estimation to assess the usefulness of monocular recursive motion estimation techniques for vehicle navigation in the absence of a model for the environment.
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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