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Obtaining Reference Road Geometry Parameters from Recorded Sensor Data
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2006 (English)In: Proceedings of the 2006 IEEE Intelligent Vehicles Symposium, 2006, 256-260 p.Conference paper, Published paper (Refereed)
Abstract [en]

In many applications of tracking and sensing systems, reference data for tuning and verification of system performance is unavailable. In this article the problem of automotive on-line road shape estimation is discussed and a method for obtaining reference data for this application is presented. The reference data is based on a least squares curve which is fitted geometrically to the lane boundaries. It does not require any extra sensors or other hardware. It is also shown that the accuracy of the estimate is high enough to be used as a reference in most applications.

Place, publisher, year, edition, pages
2006. 256-260 p.
Keyword [en]
Curve fitting, Geometry, Least squares approximations, Road traffic, Road vehicles, Tracking, Traffic engineering computing, Automotive online road shape estimation, Automotive tracking, Curve fitting, Lane geometry estimation, Lane tracking, Least squares curve, Recorded sensor data, Reference road geometry
National Category
Engineering and Technology Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-14307DOI: 10.1109/IVS.2006.1689638OAI: oai:DiVA.org:liu-14307DiVA: diva2:23165
Conference
2006 IEEE Intelligent Vehicles Symposium, Tokyo, Japan, June, 2006
Available from: 2007-02-27 Created: 2007-02-27 Last updated: 2013-02-25

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Eidehall, AndreasGustafsson, Fredrik

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  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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