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Real-time Wind Direction Filtering for Sailboat Race Tracking
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In this paper, an algorithm that calculates the direction of the wind from the directions of sailors during fleet races is proposed. The algorithm is based on a 1-D spatial convolution and it is named Convolution Based Direction Filtering (CBDF). The CBDF-algorithm is used in the TracTrac race client that broadcasts sailboat races in real-time. The fact that the proposed algorithm is polynomial makes it suitable, to be used as a real-time application inside TracTrac, even for large fleets. More concretely, we show that the time complexity of the CBDF-algorithm is O(n2), in the worst-case, where n > 0 is the number of boats in competition. It is also shown that in more realistic sailing scenarios, the CBDF-algorithm is in fact a linear algorithm.

Place, publisher, year, edition, pages
2015. , 47 p.
Keyword [en]
Algorithm, analysis, time-complexity analysis, convolution, filtering, sailboat racing, gps tracking, Datateknik
Keyword [sv]
National Category
Media and Communication Technology
URN: urn:nbn:se:liu:diva-119976ISRN: LIU-ITN-TEK-A--15/041--SEOAI: diva2:838805
Subject / course
Computer Engineering
Available from: 2015-07-01 Created: 2015-07-01 Last updated: 2015-07-01Bibliographically approved

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