Why autonomous aircraft perception models fail when sensor streams have unaligned clock domains.
If an optical camera snaps a frame at t=0.000s, a LiDAR finishes its 360-degree sweep at t=0.033s, and radar returns data at t=0.015s, a deep neural network fusing these inputs sees an aircraft that exists in three different physical locations simultaneously.
EvtolSync generates synchronized hardware trigger pulses from a central PTP master clock, firing camera global shutters, LiDAR laser pulses, and radar chirps at the identical microsecond instant, eliminating temporal motion blur and spatial smearing in AI perception models.
Eliminating timestamp jitter allows autonomous aircraft flying at 250 km/h to reliably detect and track thin power lines and approaching traffic with sub-pixel spatial accuracy.