Engineers in the UCSD Coordinated Robotics Lab, have developed new image processing techniques for rapid exploration and characterization of structural fires by small Segway-like robotic vehicles.
A sophisticated on-board software system takes the thermal data recorded by the robot's small infrared camera and maps it onto a 3D scene constructed from the images taken by a pair of stereo RGB cameras.
This allows small mobile robotic vehicles to create a virtual reality picture that includes a 3D map and temperature data that can be used immediately by first responders as the robot drives through a building on fire.
The research is part of a plan to develop novel robotic scouts that can help firefighters to assist in residential and commercial blazes.
Researchers will present their results at the International Conference on Robotics and Automation to be held from May 31 to June 5, 2014, in Hong Kong.
The robots will map and photograph the interior of burning buildings by using stereo vision.
They will use data gathered from various sensors to characterize the state of a fire, including temperatures, volatile gases, and structural integrity while looking for survivors.
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