HRI Datasets

Naturalistic driving data collected in San Francisco Bay Area

Honda Research Institute datasets are introduced to enable research on traffic scene understanding, prediction, driver modeling, motion planning, and related research that are important for intelligent mobility.

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    HDD - Honda Driving Dataset
    The HDD dataset includes 104 hours of driving data in the San Francisco Bay area to enable research on learning driver behavior in real-life environments.
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    H3D - Honda 3D Dataset
    The H3D is a larga scale full-surround 3D multi-object detection and tracking dataset. It is gathered from HDD dataset, a large scale naturalistic driving dataset collected in San Francisco Bay Area
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    HEV-I - Honda Egocentric View at Intersections
    Honda Egocentric View-Intersection Dataset (HEV-I) is introduced to enable research on traffic participants interaction modelling, future object localization, as well as learning driver action in challenging driving scenarios.
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    HSD - Honda Scenes Dataset
    The Honda Scenes dataset is a large scale annotated dataset created to enable dynamic scene classification. The dataset contains 80 hours of diverse high quality driving video data clips collected in the San Francisco Bay area.
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    HAD - Honda Research Institute-Advice Dataset
    The Honda Research Institute-Advice Dataset (HAD) is driving data with natural language advices. The driving videos are gathered from HDD dataset, a large-scale naturalistic driving dataset collected in San Francisco Bay Area
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    TITAN: Trajectory Inference using Targeted Action priors Network.
    The TITAN dataset consists of 700 video clips captured from a moving vehicle on highly interactive urban traffic scenes in Tokyo. It enables the trajectory forecast of agents by incorporating prior positions, actions, and context.