This paper discusses an innovative application of new Markov localization techniques that combat the problem of odometry drift, allowing a novel control architecture developed at the Idaho National Engineering and Environmental Laboratory (INEEL) to be utilized within a sensor characterization facility developed at the Remote Sensing Laboratory (RSL) in Nevada. The new robotic capability provided by the INEEL will allow RSL to test and evaluate a wide variety of sensors including radiation detection systems, machine vision systems, and sensors that can detect and track heat sources (e.g. human bodies, machines, chemical plumes). By accurately moving a target at varying speeds ...
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This paper discusses an innovative application of new Markov localization techniques that combat the problem of odometry drift, allowing a novel control architecture developed at the Idaho National Engineering and Environmental Laboratory (INEEL) to be utilized within a sensor characterization facility developed at the Remote Sensing Laboratory (RSL) in Nevada. The new robotic capability provided by the INEEL will allow RSL to test and evaluate a wide variety of sensors including radiation detection systems, machine vision systems, and sensors that can detect and track heat sources (e.g. human bodies, machines, chemical plumes). By accurately moving a target at varying speeds along designated paths, the robotic solution allows the detection abilities of a wide variety of sensors to be recorded and analyzed.
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Bruemmer, David; Few, Douglas; Carney, Frank; Walton, Miles; Hunting, Heather & Lujan, Ron.Autonomous Robot System for Sensor Characterization,
article,
March 1, 2004;
[Idaho Falls, Idaho].
(digital.library.unt.edu/ark:/67531/metadc886036/:
accessed December 10, 2018),
University of North Texas Libraries, Digital Library, digital.library.unt.edu;
crediting UNT Libraries Government Documents Department.
