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Road Grade Estimation for Look-ahead Vehicle Control
Scania AB.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
2008 (English)In: Proceedings of the 17th IFAC World Congress, 2008 / [ed] Chung, Myung Jin; Misra, Pradeep, 2008Conference paper, Published paper (Refereed)
Abstract [en]

Look-ahead cruise controllers and other advanced driver assistance systems for heavy duty vehicles require high precision digital maps. This contribution presents a road grade estimation algorithm for creation of such maps based on Kalman filter fusion of vehicle sensor data and GPS positioning information. The algorithm uses data from multiple traversals of the same road to improve previously stored road grade estimates. Measurement data from three test vehicles and six road traversals have been used to evaluate the quality of the obtained road grade estimate compared to a known reference. The obtained final grade estimate compares favourably to one acquired from a specialized road grade measurement vehicle with a DGPS receiver and inertial measurement unit.

Place, publisher, year, edition, pages
2008.
Keyword [en]
Kalman filtering techniques in automotive control, Automotive system identification and modelling, General automobile/road-environment strategies
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-81066DOI: 10.3182/20080706-5-KR-1001.00574ISBN: 978-3-902661-00-5 (print)OAI: oai:DiVA.org:kth-81066DiVA: diva2:497125
Conference
IFAC World Congress, Seoul, Korea, 2008
Note
QC 20120214Available from: 2012-02-14 Created: 2012-02-10 Last updated: 2012-02-14Bibliographically approved

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vehicle_ifac08(453 kB)540 downloads
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Type fulltextMimetype application/pdf

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Sahlholm, PerJohansson, Karl Henrik
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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Output format
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