Skip to main content

ZF and NVIDIA announce AI system for autonomous driving

German auto supplier ZF is working with NVIDIA to develop artificial intelligence (AI) systems for the transportation industry, including automated and autonomous driving systems for passenger cars, commercial trucks, and industrial applications. Unveiled at CES 2017 in Las Vegas, the ZF ProAI for highway automated driving is ZF’s first system developed using NVIDIA AI technology. It aims to enable vehicles to better understand their environment by using deep learning to process sensor and camera data. I
January 5, 2017 Read time: 2 mins
German auto supplier 8557 ZF is working with NVIDIA to develop artificial intelligence (AI) systems for the transportation industry, including automated and autonomous driving systems for passenger cars, commercial trucks, and industrial applications.

Unveiled at CES 2017 in Las Vegas, the ZF ProAI for highway automated driving is ZF’s first system developed using NVIDIA AI technology. It aims to enable vehicles to better understand their environment by using deep learning to process sensor and camera data. In addition, the companies are developing solutions for more advanced highly automated driving, in which systems have the capability to control the vehicle with greater levels of autonomy.

ZF ProAI will use the scalable NVIDIA DRIVE PX 2 AI computing platform to process inputs from multiple cameras, plus lidar, radar and ultrasonic sensors. ZF ProAI will have the capability to understand in real time what is happening around a vehicle, precisely locate itself on an HD map and plan a safe path forward. The solution will meet automotive-grade standards to function when exposed to extreme temperatures, moisture and dust. Series production is planned for 2018 onwards.

ZF is delivering ZF ProAI as an in-vehicle system capable of over-the-air updates to add new features and capabilities throughout the life of the vehicle. It is also configured for V2X applications, so it can communicate with other vehicles and with the surrounding infrastructure. In addition, the learning and networking capacity of ZF ProAI can help make an entire vehicle fleet safer and more efficient by means of ‘swarm intelligence’.

Related Content

  • CES 2024: PreAct launches Moab Lidar for smart cities
    January 12, 2024
    Moab is one of a line of sensors for any field requiring detailed 3D mapping and modelling
  • Can AV mapping rely on crowds?
    June 29, 2021
    Mapping tech companies need to expand their data inputs beyond crowdsourcing in order to maintain temporally accurate maps at scale, says Ro Gupta at Carmera
  • Aptiv: we need overhaul of AV nervous system
    August 20, 2019
    Autonomous vehicles are changing a lot of things: Aptiv’s Christian Schäfer suggests that we need to look again at traditional approaches to vehicle architecture to find viable options for the future
  • BMW Group, Intel and Mobileye Team Up on fully autonomous driving
    July 4, 2016
    BMW Group, Intel and Mobileye are collaborating to bring solutions for highly and fully automated driving into series production by 2021. The BMW iNEXT model will be the foundation for BMW Group’s autonomous driving strategy and set the basis for fleets of fully autonomous vehicles, not only on highways but also in urban environments for the purpose of automated ridesharing solutions. The three partners are committed to working towards an industry standard and defining an open platform for autonomous