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Cubic Spline Smoothing Algorithm for General Aviation Track

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Book cover Human Centered Computing (HCC 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11354))

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Abstract

At present, in the field of general aviation track processing in China, only discrete track points can be monitored, but smooth track curves cannot be obtained. Based on the existing cubic spline curve theory, this paper proposes a navigation path smoothing algorithm based on cubic spline curve. The algorithm sequentially constructs a cubic curve equation between two adjacent points of the track. According to the curve equation, the interpolation between the two points is obtained, and the track points and the interpolation points are sequentially connected by a straight line according to the time. When the track point and the interpolation point reach a certain density, the track becomes smooth. After experimental comparison, the curve processed by the track smoothing algorithm is closer to the actual aircraft track.

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Correspondence to Haoyang Yu .

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Xu, W., Lv, K., Yu, H., Li, C., Xu, W. (2019). Cubic Spline Smoothing Algorithm for General Aviation Track. In: Tang, Y., Zu, Q., Rodríguez García, J. (eds) Human Centered Computing. HCC 2018. Lecture Notes in Computer Science(), vol 11354. Springer, Cham. https://doi.org/10.1007/978-3-030-15127-0_48

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  • DOI: https://doi.org/10.1007/978-3-030-15127-0_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15126-3

  • Online ISBN: 978-3-030-15127-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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