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Road grade estimation for look-ahead vehicle control using multiple measurement runs
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
2010 (English)In: Control Engineering Practice, ISSN 0967-0661, E-ISSN 1873-6939, Vol. 18, no 11, 1328-1341 p.Article in journal (Refereed) Published
Abstract [en]

Look-ahead cruise controllers and other advanced driver assistance systems for heavy duty vehicles require high precision digital topographic road maps. This paper 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 passes over the same road to improve previously stored road grade estimates. Measurement data from three test vehicles and six experiments have been used to evaluate the quality of the obtained road grade estimate compared to a known reference. The obtained final grade estimate compares favorably to one acquired from a specialized road grade measurement vehicle with a DGPS receiver and inertial measurement unit, with an average root mean square error of 0.17% grade.

Place, publisher, year, edition, pages
2010. Vol. 18, no 11, 1328-1341 p.
Keyword [en]
Road traffic, Global positioning systems, Kalman filters, Sensor fusion, Automotive system identification and modeling, General automobile/road-environment strategies
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:kth:diva-27686DOI: 10.1016/j.conengprac.2009.09.007ISI: 000284670800010Scopus ID: 2-s2.0-78149357225OAI: oai:DiVA.org:kth-27686DiVA: diva2:380350
Funder
Swedish Research Council
Note
QC 20101221Available from: 2010-12-21 Created: 2010-12-20 Last updated: 2017-12-11Bibliographically approved

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Johansson, Karl H.

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