Dr. Nicholas S. Flann
Associate Professor at Autonomous Solutions Inc
SPIE Involvement:
Author | Instructor
Publications (11)

Proceedings Article | 27 May 2005 Paper
Paul Lewis, Nicholas Flann, Mitchel Torrie, Eric Poulson, Thomas Petroff, Gary Witus
Proceedings Volume 5804, (2005) https://doi.org/10.1117/12.604774
KEYWORDS: Chaos, Prototyping, Gait analysis, Control systems, Unmanned ground vehicles, Robots, Sensors, Software development, Biomimetics, Homeland security

Proceedings Article | 27 May 2005 Paper
Robert Touchton, Daniel Kent, Tom Galluzzo, Carl Crane, David Armstrong, Nick Flann, Jeff Wit, Phil Adsit
Proceedings Volume 5804, (2005) https://doi.org/10.1117/12.603631
KEYWORDS: Sensors, Data modeling, Data storage, Systems modeling, Unmanned systems, Control systems, Roads, Raster graphics, Unmanned ground vehicles, Nonlinear control

Proceedings Article | 30 September 2003 Paper
Proceedings Volume 5083, (2003) https://doi.org/10.1117/12.487483
KEYWORDS: Control systems, Intelligence systems, Surveillance, Cameras, Environmental sensing, Sensors, Telecommunications, Inspection, Databases, Imaging systems

Proceedings Article | 17 July 2002 Paper
Proceedings Volume 4715, (2002) https://doi.org/10.1117/12.474447
KEYWORDS: Inspection, Intelligence systems, Mobile robots, Environmental sensing, Sensors, Databases, Infrared cameras, Robotic systems, Artificial intelligence, Telecommunications

Proceedings Article | 20 September 2001 Paper
Kevin Moore, Nicholas Flann, Shayne Rich, Monte Frandsen, You Chung, Jason Martin, Morgan Davidson, Russell Maxfield, Carl Wood
Proceedings Volume 4364, (2001) https://doi.org/10.1117/12.439979
KEYWORDS: Sensors, Inspection, Data modeling, Cameras, Robotic systems, Human-machine interfaces, Robots, Control systems, Video, Infrared sensors

Showing 5 of 11 publications
Conference Committee Involvement (1)
Unmanned Ground Vehicle Technology V
22 April 2003 | Orlando, Florida, United States
Course Instructor
SC841: Unmanned Systems 101
This course gives a basic introduction to the technical aspects of unmanned systems. Attendees will gain a systems engineering perspective on the conceptual design and integration of the components used in unmanned systems, including locomotion, sensors, and payloads. The course will emphasize the algorithms and architectures needed to enable control and autonomy, especially path-tracking control and high-level planning strategies. All the concepts in the course will be illustrated by fully-worked out design examples and their implementation in a real-world application. Suitable industry-standard software tools will also be introduced and used where appropriate. The course content will be generally applicable to all types of unmanned systems, but will focus on unmanned ground systems, both tele-operated and autonomous.
SC898: Path Planning for Autonomous Vehicles
This course gives a comprehensive overview of path planning in autonomous systems. Attendees will gain a theoretical and practical understanding of both path planning problems and their solutions. The course will emphasize the best algorithms for solving a variety of real-world path planning problems from simple single-vehicle route planning to complex multi-vehicle area coverage. The course will discuss how to best integrate information systems into planners including GIS and vehicle constraints into static planning and real-time sensors into dynamic re-planning. All the concepts in the course will be illustrated by fully-worked out design examples and their implementation in a real-world application. The course content will be generally applicable to all types of autonomous systems, but will focus on unmanned ground systems.
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