Infrared Thermal Camera-Based Real-Time Identification and Tracking of Large Animals to Prevent Animal-Vehicle Collisions (AVCs) on Roadways
2012-05
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Infrared Thermal Camera-Based Real-Time Identification and Tracking of Large Animals to Prevent Animal-Vehicle Collisions (AVCs) on Roadways
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2012-05
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Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota
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Report
Abstract
Animal vehicle collision (AVC) is constantly a major safety issue for the driving on roadways. It is estimated that
there are over 35,000 AVCs yearly resulting in 3 to 11 deaths, over 400 personal injuries, and close to 4,000
reported property damages of $1,000 or more. This justifies the many attempts that have been tried to detect large
animals on road. However, very little success has been achieved. To reduce the number of AVCs, this research
used an infrared (IR) thermal imaging method to detect the presence of large animals and to track their locations so
drivers could avoid AVCs. The system consists of an infrared-thermal-image grabbing and processing system and a
motion control system to track the objects. By analyzing the infrared thermal images, the presence of deer in
surrounding areas have been identified, and thus tracked. Since the IR thermal imaging is independent of visible
light, the system can work both day and night, even in bad weather. The system can cover a circle area up to 1,000
feet in radius for the identification of an object the size of an adult human being.
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Department of Mechanical and Industrial Engineering, University of Minnesota Duluth; Northland Advanced Transportation Systems Research Laboratories, University of Minnesota Duluth
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Zhou, Debao. (2012). Infrared Thermal Camera-Based Real-Time Identification and Tracking of Large Animals to Prevent Animal-Vehicle Collisions (AVCs) on Roadways. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/125297.
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