Field testing of a 3D automatic target recognition and pose estimation algorithm

Stephane Ruel; Chad E. English; Len Melo; Andrew Berube; Doug Aikman; Adam M. Deslauriers; Philip M. Church; Jean Maheux

doi:10.1117/12.541390

21 September 2004 Field testing of a 3D automatic target recognition and pose estimation algorithm

Stephane Ruel, Chad E. English, Len Melo, Andrew Berube, Doug Aikman, Adam M. Deslauriers, Philip M. Church, Jean Maheux

Author Affiliations +

Proceedings Volume 5426, Automatic Target Recognition XIV; (2004) https://doi.org/10.1117/12.541390
Event: Defense and Security, 2004, Orlando, Florida, United States

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.

Citation Download Citation

Stephane Ruel, Chad E. English, Len Melo, Andrew Berube, Doug Aikman, Adam M. Deslauriers, Philip M. Church, and Jean Maheux "Field testing of a 3D automatic target recognition and pose estimation algorithm", Proc. SPIE 5426, Automatic Target Recognition XIV, (21 September 2004); https://doi.org/10.1117/12.541390

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