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Proceedings Paper

Field testing of a 3D automatic target recognition and pose estimation algorithm
Author(s): Stephane Ruel; Chad E. English; Len Melo; Andrew Berube; Doug Aikman; Adam M. Deslauriers; Philip M. Church; Jean Maheux
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Paper Abstract

Neptec Design Group Ltd. has developed a 3D Automatic Target Recognition (ATR) and pose estimation technology demonstrator in partnership with the Canadian DND. The system prototype was deployed for field testing at Defence Research and Development Canada (DRDC)-Valcartier. This paper discusses the performance of the developed algorithm using 3D scans acquired with an imaging LIDAR. 3D models of civilian and military vehicles were built using scans acquired with a triangulation laser scanner. The models were then used to generate a knowledge base for the recognition algorithm. A commercial imaging LIDAR was used to acquire test scans of the target vehicles with varying range, pose and degree of occlusion. Recognition and pose estimation results are presented for at least 4 different poses of each vehicle at each test range. Results obtained with targets partially occluded by an artificial plane, vegetation and military camouflage netting are also presented. Finally, future operational considerations are discussed.

Paper Details

Date Published: 21 September 2004
PDF: 10 pages
Proc. SPIE 5426, Automatic Target Recognition XIV, (21 September 2004); doi: 10.1117/12.541390
Show Author Affiliations
Stephane Ruel, Neptec Design Group Ltd. (Canada)
Chad E. English, Neptec Design Group Ltd. (Canada)
Len Melo, Neptec Design Group Ltd. (Canada)
Andrew Berube, Neptec Design Group Ltd. (Canada)
Doug Aikman, Neptec Design Group Ltd. (Canada)
Adam M. Deslauriers, Neptec Design Group Ltd. (Canada)
Philip M. Church, Neptec Design Group Ltd. (Canada)
Jean Maheux, Defence Research and Development Canada/Valcartier (Canada)


Published in SPIE Proceedings Vol. 5426:
Automatic Target Recognition XIV
Firooz A. Sadjadi, Editor(s)

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