Autonomous Driving Apps for Android

View 4 business solutions

Browse free open source Autonomous Driving apps and projects for Android below. Use the toggles on the left to filter open source Autonomous Driving apps by OS, license, language, programming language, and project status.

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    Find out just how much your login box can do for your customer | Auth0

    With over 53 social login options, you can fast-track the signup and login experience for users.

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  • AlertBot: Website Monitoring of Uptime, Performance, and Errors Icon
    AlertBot: Website Monitoring of Uptime, Performance, and Errors

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  • 1
    OpenBot

    OpenBot

    OpenBot leverages smartphones as brains for low-cost robots

    OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation. Current robots are either expensive or make significant compromises on sensory richness, computational power, and communication capabilities. We propose to leverage smartphones to equip robots with extensive sensor suites, powerful computational abilities, state-of-the-art communication channels, and access to a thriving software ecosystem. 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: 3 This Week
    Last Update:
    See Project
  • 2
    AWS IoT FleetWise Edge

    AWS IoT FleetWise Edge

    AWS IoT FleetWise Edge Agent

    Easily collect, transform, and transfer vehicle data to the cloud in near-real-time. AWS IoT FleetWise makes it easy and cost-effective for automakers to collect, transform, and transfer vehicle data to the cloud in near-real-time and use it to build applications with analytics and machine learning that improve vehicle quality, safety, and autonomy. Train autonomous vehicles (AVs) and advanced driver assistance systems (ADAS) with camera data collected from a fleet of production vehicles. Improve electric vehicle (EV) battery range estimates with crowdsourced environmental data, such as weather and driving conditions, from nearby vehicles. 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: 2 This Week
    Last Update:
    See Project
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