InoNet Computer GmbH
Wettersteinstraße 18
82024 Taufkirchen
Cost reduction and shorter development time
Customer
TU Munich
Students
> 50.000
Employees
> 12.000
Challenges
As part of an autonomous driving project in Germany, the Technical University of Munich (TUM) is using the autonomous vehicle EDGAR (Excellence Driving GARching) as an autonomous Wiesn shuttle at the Oktoberfest. This application places the highest demands on the technology and requires a solution that overcomes several complex technical challenges.
A key challenge is to use artificial intelligence (AI) to process the large amounts of data generated during the trip, which requires a large number of suitable interfaces for seamless integration of sensors such as cameras, radar, and lidar. Different interfaces like CAN-FD, Ethernet and USB need to communicate with the GPU and the Raid controller via the CPU.
In addition, the data must be stored and transferred to the Hardware-in-the-Loop (HiL) system for later analysis. The data already processed during the trip is used to visualize the detected objects – such as other vehicles, pedestrians, cyclists or traffic signs – on screens inside the vehicle. At the same time, the processed information must be transmitted to the Engine Control Unit (ECU) to enable the autonomous vehicle to be controlled.
These requirements demand a hardware solution that is not only powerful and flexible, but also works reliably under the demanding operating conditions in the vehicle.
Solution
In order to meet the high project requirements, the Technical University of Munich (TUM) relies on the powerful InoNet Mayflower®-B17-LiQuid-vX in combination with the QuickTray®, which is integrated in the trunk of the vehicle. This liquid-cooled hardware platform is specifically designed for demanding applications such as data acquisition and data logging in ADAS & AD test applications, and is specifically tailored to the use case and customer requirements.
The Mayflower®-B17-LiQuid-vX offers a combination of a high-performance CPU and the NVIDIA® RTX A6000 GPU, which enables the processing of large amounts of data thanks to its computing power. The efficient water cooling ensures reliable heat dissipation, even under demanding conditions. By integrating network cards, frame grabbers and BUS measurement cards, the platform provides extensive connectivity and enables precise processing and analysis of sensor data. It also allows this data to be visualised directly on screens via its many interfaces.
The QuickTray® complements the system as a high-performance storage module with a capacity of up to 120 TB and write rates of up to 26 GByte/s*, enabling continuous recording of vehicle data. The QuickTray® can be quickly and easily replaced when needed, providing flexibility and ease of use.
*depending on the SSD type and manufacturer used, real measured with Iometer in continuous write mode
Customer benefits
InoNet’s solution offers significant benefits to the customer by covering all requirements with a single PC, saving the cost of additional systems. Fast data processing during the trip means that only relevant information is stored, reducing the amount of data to be stored and allowing longer recording times.
The QuickTray® is seamlessly interchangeable so that data can be easily transferred to an external evaluation station for HiL simulations. This quick transfer after the test drives reduces development time by one hour per test drive.
The ability to visualise the data during the journey offers the customer a further advantage: errors can be detected immediately and any necessary intervention can be made directly if the system has not recorded important objects correctly. This supports the driver and contributes to greater safety and efficiency during testing.
NEW!
The new InoNet QuickTray®-v3 can be replaced even more efficiently thanks to the hot-plugging function. In addition, the QuickTray®-v3’s built-in data encryption ensures maximum protection of sensitive information from unauthorised access.
Related products
Link to: Mayflower<span class=sup>®</span>-B17-LiQuid-vX
Mayflower®-B17-LiQuid-vX
Liquid-cooled in-vehicle server for AI/GPU and sensor fusion applications
Link to: InoNet QuickTray<span class=sup>®</span>-v3
InoNet QuickTray®
High-speed storage for data exchange
Get advice from our experts now!
