Best Autonomous Driving Software in Brazil - Page 2

​Analyzing your current automotive or robotic software systems to assess a path to commercialization. Transitioning your existing software to Apex.OS. Transitioning your existing environment to a state-of-the-art continuous integration, continuous testing, and continuous delivery framework. Providing software architecture reviews and recommendations. Providing functional safety training to enable your team to build your safe autonomous system. Apex.OS is a fork of ROS 2 that has been made real-time, reliable, and deterministic so that it can be used in safety-critical applications. Apex.OS is developed in sync with future releases of ROS 2 and APIs stay compatible to ROS 2. Based on the integration of Eclipse Cyclone DDS™ and Eclipse iceoryx™, both are available as open-source and proven in automotive and mission-critical distributed systems.

Impersonate is an autonomous control platform for indoor or outdoor robots in highly dynamic environments that fully encompass perception and planning into a single AI stack that’s generalized to any robotic setup.

We’re building Hivemind, our AI pilot, to enable swarms of drones and aircraft to operate autonomously without GPS, communications, or a pilot. Our mission is to protect service members and civilians with intelligent systems. More than just preset behaviors & waypoints. Like a human pilot, Hivemind reads and reacts to the battlefield, and does not require GPS, waypoints, or prior knowledge to make decisions. It is the first and only fully autonomous AI pilot deployed in combat since 2018. From indoor building clearance with quadcopters to integrated air defense breach with fixed-wing drones, and F-16 dogfights, Hivemind™ learns and autonomously executes missions. A new generation of aircraft flown by Hivemind to provide persistent aerial dominance across sea, air, and land, on the tactical edge.

Connecting city infrastructures with digital assets, transforming traditional industries to create profit, social impact, and sustainability. We are a deep tech, AI driverless vehicle company developing our full-stack “lift and shift” driverless vehicle platform ConICAV™ for any vehicle type. We retrofit or custom-build driverless vehicles for industrial and commercial fleets, for a variety of different use cases. Utilizing AI and machine learning techniques, our ConICAV™ integrated solution improves asset management, customer experience, and operational efficiency. Conigital has secured a groundbreaking £500 million Series A+ funding offer from a global private equity firm with £150 billion under management.

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.

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.

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.

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.

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.