Web.Auto

Everything You Need
For Autonomous Driving
Development

Web.Auto covers the functions required for autonomous driving development. Achieve the development of efficient and safe automated driving systems.

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One Access Quick and Safety Development

Web.Auto includes elements which are important in autonomous driving development, such as maps, data and simulations.
It is packed with the know-how cultivated over many development and demonstration experiments.

Tools For Autonomous Driving

  • Simulator

    Driving Simulation for Autonomous Driving

    In order to develop an automated driving system, it is necessary to test a huge variety of scenarios.
    By using the Simulator, detailed scenario testing is possible, allowing safe and efficient system development.

  • Vector Map Builder

    HD Map Builder

    Autonomous driving requires the exact position of stop lines, traffic lights, pedestrian crossings, and that information is read from the map.
    By using Vector Map Builder, it is possible to create a high-precision map (HD Map) required for autonomous driving with simple operations through a browser.

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  • Point Cloud Map Builder

    HD Map Builder

    A highly accurate 3D point cloud map (Point Cloud Map) is required for autonomous driving. By uploading sensor data (ROSBAG) acquired by LiDAR using Point Cloud Map Builder to the cloud, anyone can easily create highly accurate 3D point cloud maps.

  • Automan

    Annotation Tool

    The automated driving system uses deep learning to recognize objects around the vehicle such as cars, pedestrians, and traffic lights. Automan is an annotation Tool that can efficiently create teacher data that is essential for deep learning. By simply uploading the driving data (ROSBAG) for autonomous driving to the cloud, you can easily and efficiently perform annotations from your browser. Accelerate the development of deep learning.

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If you have any questions about Web.Auto, please contact us.

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