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A Geometry-Informed Computer Vision Method for Detecting and Examining Overtaking Vehicles From A Bicycle
arXiv:2606.23699v1 Announce Type: new Abstract: Instrumented bicycle studies have produced direct field evidence on vehicle passing behavior, but extracting overtaking events from continuous rear-facing video has remained dependent on manual, frame-by-frame annotation. This bottleneck constrains sample sizes and limits naturalistic cycling safety research. We present a geometry-informed computer vision pipeline that automates overtaking event detection from a single bicycle-mounted camera withou...
arXiv cs.CV
·Gandhimathi Padmanaban, Rayane Moustafa, Fred Feng
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