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New MOTOR dataset targets two-wheeler rider behavior analysis

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced the MOTOR dataset, a novel multimodal resource designed to advance the understanding of two-wheeler rider behavior. This dataset includes over 25 hours of synchronized video from multiple angles, rider eye-gaze data, audio, and telemetry. It is annotated with traffic context, rider state, and 12 distinct riding maneuvers, including legality labels. AI

IMPACT Provides a benchmark for developing and evaluating AI models for two-wheeler rider behavior analysis and safety systems.

RANK_REASON The cluster describes a new academic dataset and associated benchmarking research.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Varun A. Paturkar, Shankar Gangisetty, C. V. Jawahar ·

    MOTOR: A Multimodal Dataset for Two-Wheeler Rider Behavior Understanding

    arXiv:2605.22550v1 Announce Type: new Abstract: 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…

  2. arXiv cs.CV TIER_1 English(EN) · C. V. Jawahar ·

    MOTOR: A Multimodal Dataset for Two-Wheeler Rider Behavior Understanding

    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 a…

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