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Vehicle computing platforms enable smart mobility

Vehicle computing platforms enable smart mobility

New Products |
By Christoph Hammerschmidt



At the Intertraffic trade fair in Amsterdam, Congatec presents a range of computing platforms for the next generation of vehicles. The deployment scenario envisages unmanned, functionally safe vehicles networked in real time via 5G mobile communications and includes solutions for digitising the mobility kinematics of existing fleets. The goal is to provide highly accurate orientation data to improve situational awareness and ultimately optimise the movement and operation of autonomous vehicles.

Mobility OEMs and their Tier 1 suppliers have a variety of tasks to accomplish in developing the next generation of intelligent autonomous mobility controls: they need to integrate vision systems and various other sensors to collect raw situational data; they need to implement data pre-processing and artificial intelligence (AI) to improve data analytics; and they need to develop the control logic for autonomous vehicle movement and operation. And on top of that, they also need 5G network slicing connectivity for vehicle-to-vehicle and vehicle-to-X communications. All of this has to be implemented in a real-time and functionally safe manner.

Congatec exhibits at Intertraffic include Xeon D processor-based COM-HPC server modules for edge servers in autonomous rail applications and 5G-based wayside equipment, COM-HPC client and COM Express modules based on 12th generation Intel Core processors for intelligent vehicle gateways and vehicle network controllers, and an application-ready Intel Atom processor-based real-time kinematics platform from Congatec’s solutions partner Etteplan.

Real-time kinematics platform

Etteplan’s real-time kinematics platform is based on Congatec’s Computer-on-Modules, features an RTK-enabled GNSS unit with accelerometer, gyroscope and magnetometer, and is designed for in-vehicle voltages up to 36V. The system supports a wide operating temperature range from -40°C to +85°C and offers IP65/67 protection. For connectivity to vehicle communication networks, it offers extensions for real-time Ethernet (TSN), RS232, RS485 and CAN. Other connectivity options include WLAN and Bluetooth, as well as LTE/5G. Ambient pressure, humidity and temperature sensors round out the feature set. The platform is available as a prototype that can be ordered immediately for solution engineering. The standard system platform is scheduled to go into series production in the second half of 2022.

COM HPC server modules with Intel Xeon D processors

The new COM-HPC server modules in Size E and D form factors with Intel Xeon D processors are designed for next-generation real-time microserver workloads in rugged vehicle and mobility environments in extended temperature ranges. Features include up to 20 cores, up to 1TB of RAM, double throughput per PCIe lane compared to Gen 3, and up to 100GbE connectivity and TCC/TSN support. Deployments in transport applications range from edge servers on trains and include vision-based applications for public safety and infrastructure security.

Computer-on-Modules with 12th generation Intel Core processors

Equipped with 12th generation Intel Core processors (formerly codenamed Alder Lake), the new Congatec modules in COM-HPC Size A and Size C and COM Express Type 6 form factors offer significant performance gains and improvements for the next generation of smart mobility systems. Particularly impressive is the fact that developers can now use Intel’s innovative performance hybrid architecture. With up to 14 cores on BGA variants, the 12th generation Intel Core processors offer a quantum leap in multitasking and scalability to accelerate multithreaded in-vehicle applications and run dedicated real-time tasks more efficiently. In addition, the integrated Intel Iris Xe graphics with up to 96 execution units offers an extraordinary performance increase in GPGPU processing of up to 129% compared to the eleventh generation Intel Core processors to accelerate parallelised workloads such as AI algorithms.

https://www.congatec.com/

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