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Cited by 553

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Recursive 3-D road and relative ego-state recognition

Dickmanns, E.D., Mysliwetz, B.D.·1992·IEEE Transactions on Pattern Analysis and Machine Intelligence

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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Metadata

Authors
Dickmanns, E. D., & Mysliwetz, B. D.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
1992
Volume
14
Issue
2
Pages
199-213
ISSN
0162-8828 (ISSN-L)
OpenAlex
W2043642041
Cited by
553
References
21
FWCI
75.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recursive 3-D road and relative ego-state recognition. https://app.cochat.ai/papers/10.1109/34.121789
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Dickmanns, E. D., & Mysliwetz, B. D. (1992). Recursive 3-D road and relative ego-state recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.121789

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