The H3D is a large 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.

This dataset corresponds to the paper,  "The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes" , as it appears in...

HDD Introduction The videos below provide examples of Goal-oriented driving behavior from the dataset. GPS coordinates together with sensor values from the CAN bus are shown on...

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Honda Research Institute USA (HRI-US) is at the cutting edge of Honda's research and development activities. Inspired by Honda's global slogan - The Power of Dreams - we pursue...

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This dataset corresponds to the paper, "Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning" , as it appears in CVPR 2018. In...

The title includes multiple positions which focus on developing computer vision, signal processing, and machine learning algorithms for human-vehicle interactions in traffic scenes.

The title includes multiple positions which focus on developing computer vision and machine learning algorithms to capture the detailed semantics of 2D and/or 3D traffic scenes.

The title includes multiple positions which focus on developing computer vision and machine learning algorithms to build DNN-based models explainable for human users in traffic scenes.

This internship position focuses on interface designs for AD and ADAS systems.

This title includes multiple positions which focus on developing algorithms to advance research in motion planning and decision making.

This title includes multiple positions which focus on formulating and developing algorithms, and running experiments to advance research in robotics manipulation.