With four models, ZF claims that it can cover virtually the entire range of possible application scenarios and use cases such as basic ADAS function right up to fully autonomous cars, commercial vehicles and industrial applications.
07 Jan 2019 | 16896 Views | By Autocar Professional Bureau
ZF has unveiled the latest model of its automotive supercomputer ZF ProAI just before the start of this year’s Consumer Electronics Show (CES). The company claims that the ProAI RoboThink central control unit offers the highest performance of its kind in the industry. Vehicle manufacturers and mobility service providers additionally benefit ...
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ZF has unveiled the latest model of its automotive supercomputer ZF ProAI just before the start of this year’s Consumer Electronics Show (CES). The company claims that the ProAI RoboThink central control unit offers the highest performance of its kind in the industry. Vehicle manufacturers and mobility service providers additionally benefit from the system's modularity and scalability.
Customers would also be able to specify their favourite software architecture – said to be a real breakthrough, especially for Mobility-as-a-Service applications. In the wake of booming services such as ride-hailing, ZF will also premiere its own software stack for new mobility concepts at the CES. This stack, together with the latest ZF Pro AI and ZF’s comprehensive sensor set represents a fully integrated system for driverless vehicles which the company claims can be easily adopted by the new players in the field of mobility services.
With four models, ZF claims that it can cover virtually the entire range of possible application scenarios and use cases such as basic ADAS function right up to fully autonomous cars, commercial vehicles and industrial applications. ZF ProAI Gen1 complies with virtually all NCAP 2022 standards. The ZF ProAI Gen2 has sufficient computing potential to enable partially and highly automated Level 2 and Level 3 driving.
ZF Pro AI Gen 1
The next stage up, the ZF ProAI Gen3, offers broad modularity and can combine various chips on up to three performance boards. This should provide enough computing power for real-time processing of the data required for automated driving up to Level 4. The latest model, the ZF ProAI RoboThink – with its scalable computing power and its own graphics processor – is the most powerful high-end solution and is ideally suited for autonomous driving applications from Level 4 and above.
ZF ProAI-Gen2
The ZF ProAI product family offers an open platform for the customised integration of software algorithms – covering conventional functions as well as AI algorithms. What's more, they support various operating systems common in the automotive field, like AutoSAR, Adaptive AutoSAR or QNX and will add further platforms as they are developed.
Through its latest partnership with Xilinx, ZF is integrating Xilinx’s Multi-Processor System-on-Chip (MPSoC) platform for data aggregation, pre-processing, and distribution to enable the scalability and flexibility required for various sensor and automated driving feature sets, while also providing low latency and high-efficiency artificial intelligence computer acceleration. This approach is unique compared to other systems on the market which use a fixed combination of hardware and software architecture – a solution which can potentially limit functionality and add more cost.
ZF to partner Nvidia for Autonomous tech
Nvidia has named ZF as one of the preferred partners for its ‘Level2+ NVIDIA DRIVE AutoPilot’. Since ZF’s new product’s volume production starts within the next 12 months it is the only automotive grade AI capable supercomputer that can meet Nvidia’s ambitious timeline for the launch of their DRIVE AutoPilot from the beginning.
ZF’s CEO Wolf-Henning Scheider said, “We are taking advantage of the fact that only ZF offers a supercomputer that is ready for volume production. Our open, flexible, modular and scalable ZF ProAI product family allows for just the right configuration of any application – for a variety of industries, and across all levels of automated driving.”
Rob Csongor, vice-president of Autonomous Machines at NVIDIA, commented, “We’re thrilled with the results of our collaboration with ZF. Their agility and system expertise has resulted in the incredibly rapid development of the ProAI platform enabling L2+ through L4/L5 robotaxi vehicles, leveraging NVIDIA’s DRIVE Xavier processors and DRIVE software. ZF is now able to deliver to car makers advanced L2+ self-driving solutions for production starting in 2020 and the ability to quickly scale to higher levels of autonomy.”
A high-performance processing unit is essential to analysing 360-degree environmental surroundings while monitoring the vehicle interior and position of the occupants to help enhance safety and vehicle control. This latest generation CPU ZF ProAI product family comes with its own graphics processor, offers a total computing performance of more than 150 teraOPS (the equivalent of 150 trillion calculation operations per second) and can be modularly combined with up to four units, corresponding to a total performance of 600 teraOPS.
Torsten Gollewski, head of ZF Advanced Engineering and general manager of Zukunft Ventures, said, "The unique selling proposition of the AI-capable ZF ProAI RoboThink is its modular hardware concept and open software architecture. Our aim is to provide the widest possible range of functions in the field of autonomous driving."
ZF ProAI RoboThink
The successful partnership with NVIDIA continues with the ZF ProAI RoboThink – however, ZF also offers customers the option of equipping the ZF ProAI with processors from other manufacturers. A current example is ZF’s new partnership with Xilinx, a leader in adaptive and intelligent computing.
ZF ProAI accelerates Mobility-as-a-Service
This is because powerful domain computers used in Mobility-as-a-Service applications not only manage the complex calculation of the surroundings based on a fusion of camera, radar and LIDAR data, they also integrate user data via the Cloud, payment systems and above all optimal route planning and implementation. Complex algorithms calculate these from the mobility and transport requirements of people or goods and can compare them in real time with the current traffic situation.
"The computing power of central computers in robo-taxis and autonomous people or cargo-movers will be significantly higher than for automated-driving passenger cars," says Torsten Gollewski. "The demand from ride-hailing service providers for even more computing power has arisen much sooner than predicted. Today, the autonomous-driving market is being driven more by new mobility service providers than by established vehicle manufacturers."
The people and cargo mover which ZF will launch in volume production this year in a joint venture with e.GO Mobile AG will also use ZF ProAI for its automated driving functions and networking.