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15 February 2012 Passive detection of vehicle loading
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Abstract
The Digital Imaging and Remote Sensing Laboratory (DIRS) at the Rochester Institute of Technology, along with the Savannah River National Laboratory is investigating passive methods to quantify vehicle loading. The research described in this paper investigates multiple vehicle indicators including brake temperature, tire temperature, engine temperature, acceleration and deceleration rates, engine acoustics, suspension response, tire deformation and vibrational response. Our investigation into these variables includes building and implementing a sensing system for data collection as well as multiple full-scale vehicle tests. The sensing system includes; infrared video cameras, triaxial accelerometers, microphones, video cameras and thermocouples. The full scale testing includes both a medium size dump truck and a tractor-trailer truck on closed courses with loads spanning the full range of the vehicle's capacity. Statistical analysis of the collected data is used to determine the effectiveness of each of the indicators for characterizing the weight of a vehicle. The final sensing system will monitor multiple load indicators and combine the results to achieve a more accurate measurement than any of the indicators could provide alone.
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Troy R. McKay, Carl Salvaggio, Jason W. Faulring, Philip S. Salvaggio, Donald M. McKeown, Alfred J. Garrett, David H. Coleman, and Larry D. Koffman "Passive detection of vehicle loading", Proc. SPIE 8305, Visual Information Processing and Communication III, 830511 (15 February 2012); https://doi.org/10.1117/12.912100
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