Artificial Perception Laboratory |
|
Enhanced Synthetic Vision System |
PROBLEM
The Enhanced and Synthetic Vision System (ESVS) is a Canadian Forces Search And Rescue (CF SAR) Technology Demonstrator project to help SAR helicopter crews
see in poor visibility conditions. The ESVS includes an on-board image
generator to render synthetic images of the terrain and an infrared sensor to
provide a correlated out-the-window image. Both images are presented on a
helmet-mounted-display with the infrared image fused as an inset in the center
of the synthetic image field of view. Flight symbology is superimposed on the
final image to assist the pilot in flying the aircraft. An active range sensor will also be used to correct database inaccuracies due to erroneous or
incomplete source data. The research program is done in collaboration with CAE Inc., the National Research Council (NRC) of Canada, BAE Systems Canada, the
University of Toronto, York University, and the Department of National Defence
(Canada).
The members of the
Artificial Perception Laboratory participating in this project are:
Prof. Frank P. Ferrie
Philippe Simard (Ph.D. student)
Simard, P., Link, N.K., Kruk, R.V., "Evaluation of algorithms for fusing
infrared and synthetic imagery", Proceedings of the SPIE Conference on
Enhanced and Synthetic Vision, vol. SPIE-4023, pp. 127-138, 2000.
Download (344 KB)
Simard, P., Link, N.K., Kruk, R.V., "Feature detection performance with fused
synthetic and sensor images", Proceedings of the Human Factors and Ergonomics
Society 43rd Annual Meeting, pp. 1108-1112, 1999.
Download (91KB)
Simard, P., "Fusion of synthetic and infrared imagery", Master's
Thesis, McGill University, 1999.
Download
(2430 KB)