Introducing a new video series that describes the challenges the NVIDIA DRIVE Software team NVIDIA DRIVE™ platforms include an in-vehicle computer (DRIVE AGX) and complete reference architecture (DRIVE Hyperion™), as well as data center-hosted simulation (DRIVE Constellation™) and deep neural network (DNN) training platforms (DGX™). Nvidia Drive Constellation is a cloud-based simulation platform, designed from the ground up to support the development and validation of autonomous vehicles. NVIDIA DRIVE AGX ist die einzige Hardwareplattform ihrer Art und bietet energieeffizientes Hochleistungs-Computing für funktionelles und sicheres KI-gesteuertes autonomes Fahren. Accelerate performance of perception, localization, planning, and mapping algorithms using hardware accelerators. Toyota’s research and development arm, the Toyota Research Institute-Advanced Development (TRI-AD), will leverage DRIVE Constellation as part of an expanded partnership between the companies. NVIDIA has announced that its autonomous vehicle simulation platform Drive Constellation is now available and that Toyota will be the first customer. Built out of a Mercedes-Benz E300, the simulator includes the DRIVE AGX Pegasus supercomputer, DRIVE AV autonomous driving software and DRIVE IX intelligent cockpit platform. Deep-learning based methods using annotated LiDAR data have been the most widely adopted approach for this. This site requires Javascript in order to view all its content. Please enable Javascript in order to access all the functionality of this web site. November 30, 2020. NVIDIA DRIVE™ platforms include an in-vehicle computer (DRIVE AGX) and complete reference architecture (DRIVE Hyperion™), as well as data center-hosted simulation (DRIVE Constellation™) and deep neural network (DNN) training platforms (DGX™). The vehicle’s computer is referred to as “DRIVE AGX”, which uses various sensors and hardware acceleration to create a robust AI system. Our Solution. Blicken Sie mit unserer aktuellen Videoserie unter die Haube der NVIDIA Drive-Software. Exploring Under the ... their approach to obtaining automotive grade safety standards, balancing power consumption efficiency, simulation, and scalability. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. Mercedes-Benz, and NVIDIA, the global leader in accelerated computing, plan to enter into a cooperation to create a revolutionary in-vehicle computing system and AI computing infrastructure. Pillar 1: An Artificial Intelligence Design and Implementation Platform NVIDIA DRIVE Constellation components: DRIVE Sim is the simulation software that provides a rich 3D environment for virtual testing. DRIVE Platform software plug-ins allow partners to integrate their technology with the DRIVE AGX system. The open, full-stack solution features libraries, toolkits, frameworks, source packages, and compilers for vehicle manufacturers and suppliers to develop applications for autonomous driving and user experience. So ist branchenführende Leistung möglich, die Automobil- und Lkw-Hersteller sowie Direktlieferanten und Startups dabei unterstützt, das autonome Fahren zur Realität zu machen. Nvidia and Toyota have been collaborating for several years now. DGX systems are designed to experiment faster and train larger neural network models. Driving Simulation for Virtual Testing rFpro provides driving simulation software and Digital-Twins for Autonomous Driving, ADAS and Vehicle Dynamics development, testing and validation. Software-Defined AI Systems for Autonomous Vehicles: Hear from Neda Cvijetic, senior manager of autonomous vehicles and host of NVIDIA DRIVE Labs as she discusses software-defined AI systems for autonomous vehicles … is tackling, and how we’re solving them. … NVIDIA has announced the launch of its new NVIDIA DRIVE Constellation autonomous vehicle simulation platform. DRIVE Hyperion is the company’s reference architecture for data collection, analysis, and testing. Modern deep neural networks, such as those used in self-driving vehicles, require a mind boggling amount of computational power. So können Hard- und Software vor der Bereitstellung ständig validiert werden. Cognata delivers full product lifecycle simulation for ADAS and Autonomous Vehicle developers . Die Produktion bei AutoPilot läuft 2020 an. Join the NVIDIA Developer Program to watch technical sessions from conferences around the world. So können die Hersteller ausgereifte Fahrerassistenzfunktionen sowie intelligente Fahrerkabinen- und Visualisierungsleistungen für Pkw und Lkw zur Verfügung stellen. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were … Amid the torrent of news at CES in January, it was easy to miss the unveiling of NVIDIA's Drive platform -- a way for the company to test out its self-driving algorithms through repeated simulations. NVIDIA DRIVE - Autonomous Vehicle Development Platforms. Additionally, the compute loads to generate data for today's AV sensor sets in rich 3D worlds are tremendous. Develop new applications using published APIs. Autonomous Driving and ADAS Simulation Platform, Driven by AI CONTACT US. March 23, 2020 by Danny Shapiro As the industry begins to deploy autonomous driving technology, NVIDIA is leading the way in delivering a complete end-to-end solution, including data center infrastructure, software toolkits, libraries and frameworks, as well as high-performance, energy-efficient compute for safer, more efficient transportation. NVIDIA DRIVE infrastructure provides the unified architecture needed to train self-driving DNNs on massive amounts of data.