The imagery from three cameras is fused in order to collect a hemispherical view of the environment around train tracks. An embedded FPGA ensures that the three heads acquire the frames simultaneously, while also ensuring that each head is properly exposed to within a given tolerance to the other heads — think of the sun illuminating from one side more than the other. With the help of a precision IMU and GPS receiver, the frames are timestamped with a 1 microsecond resolution, allowing accurate geolocation even on a fast moving platform such as a train.
Facts & Figures
Client: Fugro Raildata
Request: Collect imagery of the surroundings of train tracks
Method: RGB hemispherical sensor fusion
Lead time: 3 months
Frame rate: 15 fps
Resolution: 3 x 2048 x 2048 px
Heads: 3
FOV: 2π sr
Main technologies used
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Max Collon