Paper
9 May 2006 The ALS project: lessons learned
Author Affiliations +
Abstract
In support of Canadian Forces transformation, Defence R&D Canada (DRDC) has established an ongoing program to develop machine intelligence for semi-autonomous vehicles and systems. Focussing on mine clearance and remote scouting for over a decade, DRDC Suffield has developed numerous UGVs controlled remotely over point-to-point radio links. Though this strategy removes personnel from potential danger, DRDC recognized that human factors and communications bandwidth limit teleoperation and that only networked, autonomous unmanned systems can conserve these valuable resources. This paper describes the outcome of the first autonomy project, Autonomous Land Systems (ALS), designed to demonstrate basic autonomous multivehicle land capabilities.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Simon Monckton, Jack Collier, Jared Giesbrecht, Greg Broten, David MacKay, David Erickson, Sean Verret, and Bruce Digney "The ALS project: lessons learned", Proc. SPIE 6230, Unmanned Systems Technology VIII, 62300G (9 May 2006); https://doi.org/10.1117/12.669528
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Global Positioning System

Nomenclature

Telecommunications

Vehicle control

Data modeling

Error analysis

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