Compare the Top Autonomous Driving Software for Cloud as of April 2026 - Page 2

  • 1
    Journeyware

    Journeyware

    Xevo by Lear

    The future of the connected car experience: thin client application and cloud framework enabling consumer commerce, in-car media applications, mobile apps, and enterprise services. The Xevo Journeyware platform for cloud, car, and mobile devices enables multi-media applications, AI-driven contextual recommendations, and content delivery to give drivers and passengers an enhanced in-vehicle experience and provide automakers with new monetization opportunities. Components of Journeyware connected car platform are deployed in more than 25 million vehicles worldwide. Xevo Context recommendation engine utilizes Journeyware’s automotive AI technology to provide a dynamic, hyper-contextual user experience. This highly-relevant content is delivered as suggestions and offers based on drivers’ preferences, past behavior, time of day, vehicle location, current route, and more.
  • 2
    Nauto

    Nauto

    Nauto

    Driver and Fleet Safety Platform. The only AI technology impacting driver behavior in real-time. Anticipate events before they happen to help avoid incidents, minimize repair and maintenance costs, and reduce fleet claims. Minimize your injury, liability, and processing costs with AI-enabled, real-time detection and incident reporting. Driver Behavior Alerts coach your entire fleet in real-time. For drivers that need additional fleet safety training, Nauto Manager-Led Coaching helps you prioritize drivers and guides you through the coaching process. Reduce operational and insurance costs associated with fleet collisions by preventing distracted and drowsy driving. Drive adoption with features designed to help protect driver privacy and provide transparency between managers and fleet drivers.
  • 3
    AutonomouStuff

    AutonomouStuff

    AutonomouStuff

    World’s premier automated platform provider. Starting with a customizable R&D vehicle platform can accelerate your work on advanced driver assistance systems (ADAS), advanced algorithm development and automated driving initiatives — or help take your driverless efforts to the next level. Step-by-step specification of your own R&D vehicle platform, from the vehicle to sensors, software and storage. When you purchase a platform from AutonomouStuff, we’re part of your team. A knowledgeable and experienced project manager stays in touch with you on a regular basis to keep you current on platform updates and to make sure we’re meeting your needs.
  • 4
    Aptiv

    Aptiv

    Aptiv

    Aptiv is a global technology company that develops safer, greener and more connected solutions enabling the future of mobility. Aptiv is focused on developing and commercializing autonomous vehicles and systems that enable point-to-point mobility via large fleets of autonomous vehicles in challenging urban driving environments. With talented teams working across the globe, from Boston to Singapore, Aptiv is the first company to deploy a commercial, autonomous ride-hailing service based in Las Vegas. Aptiv has provided over 100,000 public passenger rides, with 98% of passengers rating their Aptiv self-driving experience 5-out-of-5 stars. At Aptiv, we believe that our mobility solutions have the power to change the world.
  • 5
    Apollo Autonomous Vehicle Platform
    Various sensors, such as LiDAR, cameras and radar collect environmental data surrounding the vehicle. Using sensor fusion technology perception algorithms can determine in real time the type, location, velocity and orientation of objects on the road. This autonomous perception system is backed by both Baidu’s big data and deep learning technologies, as well as a vast collection of real world labeled driving data. The large-scale deep-learning platform and GPU clusters. Simulation provides the ability to virtually drive millions of kilometers daily using an array of real world traffic and autonomous driving data. Through the simulation service, partners gain access to a large number of autonomous driving scenes to quickly test, validate, and optimize models with comprehensive coverage in a way that is safe and efficient.
MongoDB Logo MongoDB