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    AWS IoT FleetWise Edge

    AWS IoT FleetWise Edge

    AWS IoT FleetWise Edge Agent

    ...Collect select data from nearby vehicles and use it to notify drivers of changing road conditions, such as lane closures or construction. Use near real-time data to proactively detect and mitigate fleet-wide quality issues.
    Downloads: 0 This Week
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  • 2
    OpenBot

    OpenBot

    OpenBot leverages smartphones as brains for low-cost robots

    ...We design a small electric vehicle that costs $50 and serves as a robot body for standard Android smartphones. We develop a software stack that allows smartphones to use this body for mobile operation and demonstrate that the system is sufficiently powerful to support advanced robotics workloads such as person following and real-time autonomous navigation.
    Downloads: 1 This Week
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  • 3
    SVL Simulator

    SVL Simulator

    A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

    ...It currently has integration with The Autoware Foundation's Autoware.auto and Baidu's Apollo platforms, can generate HD maps, and can be immediately used for testing and validation of a whole system with little need for custom integrations. We hope to build a collaborative community among robotics and autonomous vehicle developers by open-sourcing our efforts. To use the simulator with Apollo 6.0 or master, first download the simulator binary, then follow our Running with latest Apollo docs. To use the simulator with Autoware.auto, first download the simulator binary, then follow the guide on our Autoware.auto.
    Downloads: 0 This Week
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  • 4
    Coach

    Coach

    Enables easy experimentation with state of the art algorithms

    ...With Coach, it is possible to model an agent by combining various building blocks, and training the agent on multiple environments. The available environments allow testing the agent in different fields such as robotics, autonomous driving, games and more. It exposes a set of easy-to-use APIs for experimenting with new RL algorithms and allows simple integration of new environments to solve. Coach collects statistics from the training process and supports advanced visualization techniques for debugging the agent being trained. Coach supports many state-of-the-art reinforcement learning algorithms, which are separated into three main classes - value optimization, policy optimization, and imitation learning. ...
    Downloads: 0 This Week
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