Mr. Benoit Ricard Profile

Benoit Ricard

Defence Scientist at Defence Research and Development Canada

SPIE Involvement:

Author

Publications (9)

Proceedings Article | 27 April 2010 Paper

Concept of operation and preliminary experimental results of the DRDC through-wall SAR system

Pascale Sévigny, David DiFilippo, Tony Laneve, Brigitte Chan, Jonathan Fournier, Simon Roy, Benoît Ricard, Jean Maheux

Proceedings Volume 7669, 766907 (2010) https://doi.org/10.1117/12.849709

KEYWORDS: Synthetic aperture radar, Buildings, Radar, LIDAR, Antennas, Image fusion, 3D image processing, Data fusion, 3D acquisition, Photography

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SPIE Journal Paper | 1 April 2007

Fast Risley prisms camera steering system: calibration and image distortions correction through the use of a three-dimensional refraction model

Valérie Lavigne, Benoit Ricard

OE, Vol. 46, Issue 04, 043201, (April 2007) https://doi.org/10.1117/12.10.1117/1.2722754

KEYWORDS: Prisms, Imaging systems, Cameras, 3D modeling, Calibration, Infrared imaging, Refraction, Infrared radiation, Infrared cameras, 3D image processing

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Proceedings Article | 12 May 2006 Paper

Intelligent mobility research for robotic locomotion in complex terrain

Michael Trentini, Blake Beckman, Bruce Digney, Isabelle Vincent, Benoit Ricard

Proceedings Volume 6230, 62300I (2006) https://doi.org/10.1117/12.669556

KEYWORDS: Robotics, Control systems, Intelligence systems, Actuators, Sensors, Defense and security, Computer aided design, Algorithm development, Mathematical modeling, Systems modeling

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The objective of the Autonomous Intelligent Systems Section of Defence R&D Canada - Suffield is best described by its mission statement, which is "to augment soldiers and combat systems by developing and demonstrating practical, cost effective, autonomous intelligent systems capable of completing military missions in complex operating environments." The mobility requirement for ground-based mobile systems operating in urban settings must increase significantly if robotic technology is to augment human efforts in these roles and environments. The intelligence required for autonomous systems to operate in complex environments demands advances in many fields of robotics. This has resulted in large bodies of research in areas of perception, world representation, and navigation, but the problem of locomotion in complex terrain has largely been ignored. In order to achieve its objective, the Autonomous Intelligent Systems Section is pursuing research that explores the use of intelligent mobility algorithms designed to improve robot mobility. Intelligent mobility uses sensing, control, and learning algorithms to extract measured variables from the world, control vehicle dynamics, and learn by experience. These algorithms seek to exploit available world representations of the environment and the inherent dexterity of the robot to allow the vehicle to interact with its surroundings and produce locomotion in complex terrain. The primary focus of the paper is to present the intelligent mobility research within the framework of the research methodology, plan and direction defined at Defence R&D Canada - Suffield. It discusses the progress and future direction of intelligent mobility research and presents the research tools, topics, and plans to address this critical research gap. This research will create effective intelligence to improve the mobility of ground-based mobile systems operating in urban settings to assist the Canadian Forces in their future urban operations.

Proceedings Article | 9 May 2006 Paper

A volumetric sensor for real-time 3D mapping and robot navigation

Jonathan Fournier, Benoit Ricard, Denis Laurendeau

Proceedings Volume 6230, 623009 (2006) https://doi.org/10.1117/12.666612

KEYWORDS: Sensors, 3D modeling, Laser scanners, Stereoscopic cameras, Mirrors, Data acquisition, Associative arrays, Environmental sensing, Scanners, LIDAR

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Proceedings Article | 2 September 2004 Paper

Adaptive representation for dynamic environment, vehicle, and mission complexity

Jack Collier, Benoit Ricard, Bruce Digney, David Cheng, Michael Trentini, Blake Beckman

Proceedings Volume 5422, (2004) https://doi.org/10.1117/12.541148

KEYWORDS: Sensors, Robots, Environmental sensing, Reliability, Robotics, Buildings, Extremely high frequency, Radar, Defense and security, Unmanned ground vehicles

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Proceedings Article | 30 August 2004 Paper

Step-stare technique for airborne high-resolution infrared imaging

Valerie Lavigne, Paul Chevrette, Benot Ricard, Andre Zaccarin

Proceedings Volume 5409, (2004) https://doi.org/10.1117/12.562940

KEYWORDS: Prisms, Cameras, Infrared imaging, Eye, Imaging systems, Infrared radiation, Computer simulations, Algorithm development, Systems modeling, Infrared cameras

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Proceedings Article | 4 June 2002 Paper

Large-deviation achromatic Risley prisms pointing systems

Jean Lacoursiere, Michel Doucet, Eugene Curatu, Maxime Savard, Sonia Verreault, Simon Thibault, Paul Chevrette, Benoit Ricard

Proceedings Volume 4773, (2002) https://doi.org/10.1117/12.469192

KEYWORDS: Prisms, Chromatic aberrations, Glasses, Cameras, Colorimetry, Sensors, Sapphire, Eye, Thermography, Infrared radiation

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Proceedings Article | 15 March 2002 Paper

Flight testing the infrared eye prototype

Benoit Ricard, Paul Chevrette, Mario Pichette

Proceedings Volume 4710, (2002) https://doi.org/10.1117/12.459568

KEYWORDS: Cameras, Eye, Prisms, Imaging systems, Thermography, Infrared imaging, Prototyping, Infrared cameras, Infrared radiation, Sensors

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Proceedings Article | 16 August 1999 Paper

Infrared Eye: a human-vision-based display

Paul Chevrette, Benoit Ricard

Proceedings Volume 3690, (1999) https://doi.org/10.1117/12.357586

KEYWORDS: Cameras, Eye, Infrared cameras, Sensors, Infrared imaging, Imaging systems, Infrared radiation, Target detection, Image processing, Prototyping

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Showing 5 of 9 publications

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