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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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Proceedings ArticleDOI

Road curb tracking in an urban environment

TL;DR: The advantage of the proposed image enhanced laser detectionhracking method, over laser alone detectionhracker, is illustrated using simulations and its robustness to varied road curvatures, branching, tums and scenarios, is demonstrated through experimental results.
Journal ArticleDOI

Real-World Railway Traffic Detection Based on Faster Better Network

TL;DR: This paper proposes FB-Net (faster better network), a robust end-to-end convolutional neural network, focusing on improving efficiency and effectiveness and designing a feature fusion module to enhance the semantic context interaction of adjacent feature maps for better detection of small objects.
Proceedings Article

Vision and ToF-based driving assistance for a personal transporter

TL;DR: This work presents an approach to video image stabilization on the SegIT transporter, that can estimate and compensate global motion in the image sequence, and presents a driving assistance system determining obstacles and drivable surfaces.
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Autonomous landing of airplanes by dynamic machine vision

TL;DR: The 4D approach to dynamic machine vision has been validated for the application area of on-board autonomous landing approaches in the visual flight regime with computing technology available today; sensors are a video-camera, inertial gyros and an air velocity meter.
Proceedings ArticleDOI

A reliable road lane detector approach combining two vision-based algorithms

TL;DR: A new approach for detecting road lane with reliability using vision-based techniques by using several (two in this paper) independent algorithms that combine their outputs together to obtain more reliable results as well as a confidence value about the reliability of the results.
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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