Imaging Model of Missile-borne Linear Array Scanning Lidar Based on a Fast Algorithm for Ray Intersection

DOI

10.2991/cnci-19.2019.86How to use a DOI?

Keywords

3D laser imaging, point cloud, fast algorithm for ray intersection.

Abstract

Due to cost and realistic feasibility limitations, the current research on laser active imaging guidance technology is based on simulation models. In this paper, the complete process of laser emission, target reflection and detector reception are modeled and simulated, and finally the range image is obtained. Due to the large number of actual scene bins, bins are screened first to increase the intersection speed between the beam and the target. Also, a fast algorithm for ray intersection in real scenes is proposed, which improves the operation speed to over 70 times. Based on the fast algorithm, this paper divides the whole imaging process simulation into three steps: beam vector solution, beam target intersection and projection point related information acquisition.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qishu Qian
AU  - Yihua Hu
AU  - Nanxiang Zhao
AU  - Minle Li
AU  - Fucai Shao
PY  - 2019/05
DA  - 2019/05
TI  - Imaging Model of Missile-borne Linear Array Scanning Lidar Based on a Fast Algorithm for Ray Intersection
BT  - Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)
PB  - Atlantis Press
SP  - 619
EP  - 626
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnci-19.2019.86
DO  - 10.2991/cnci-19.2019.86
ID  - Qian2019/05
ER  -