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Journal of Projectiles, Rockets, Missiles and Guidance >

2021 , Vol. 41 >Issue 1: 120 - 123

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2021.01.027

A Sparse Point Cloud Interpolation Algorithm for the Hedgehopping Munition with High Rotational Speed Carrying Laser Radar

  • JIANG Hanhan 1 ,
  • GUO Rui 1 ,
  • WU Junan 1 ,
  • ZHAO Xu 2
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  • 1 ZNDY Ministerial Key Laboratory,Nanjing University of Science and Technology,Nanjing 210094,China
  • 2 Beijing Key Laboratory of High Dynamic Navigation Technology,Beijing Information Science and Technology University,Beijing 100101,China

Received date: 2020-05-12

  Online published: 2025-02-11

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Abstract

In order to solve the problem of sparse point cloud data, a classification interpolation reconstruction algorithm is proposed by distinguishing edge points and non-edge points.First, the interpolation points are classified by the height difference of the neighborhood points set of the interpolation points.The improved nearest neighbor interpolation algorithm is used for edge points;the inverse distance weighted interpolation algorithm of neighborhood point set is used for non-edge points.The simulation shows that the new algorithm can effectively save the edge information of the range image so as to provide technical support for the target segmentation of the subsequent range image.

Key words： hedgehopping munitions with high rotational speed; sparse point cloud; nearest neighbor; inverse distance weighted sum

Cite this article

JIANG Hanhan , GUO Rui , WU Junan , ZHAO Xu . A Sparse Point Cloud Interpolation Algorithm for the Hedgehopping Munition with High Rotational Speed Carrying Laser Radar[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2021 , 41(1) : 120 -123 . DOI: 10.15892/j.cnki.djzdxb.2021.01.027

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