AI RESEARCH
MOTOR: A Multimodal Dataset for Two-Wheeler Rider Behavior Understanding
arXiv CS.CV
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ArXi:2605.22550v1 Announce Type: new Two-wheelers account for a disproportionately high share of road fatalities in the Global South. Research on two-wheeler rider behavior, however, lags far behind four-wheelers, where multimodal datasets have driven major advances in Advanced Driver Assistance Systems (ADAS). To address this gap, we present the MOtorized TwO-wheeler Rider (MOTOR) dataset, the first large-scale, multi-view, multimodal resource dedicated to two-wheelers in dense, unstructured traffic.