The progression from Advanced Driver Assistance Systems (ADAS) towards Autonomous Vehicles has resulted in a huge increase in the amount of data that in-car sensors generate. Traditional vehicle architectures such as CAN, LIN and FlexRay have been supplemented with Automotive Ethernet to provide the bandwidth necessary to process sensor data from cameras, LiDAR and radar.
In-vehicle compute & storage systems are required both in the development and production phases of autonomous vehicles and Klas’ background in Edge Intelligence applications can help in this challenging area. We have prioritised an open architecture that integrates with existing Public and Private cloud architectures giving complete control over your data.
Capturing high-resolution sensor data for test vehicles is critical to the development of automated driving algorithms in Hardware-in-the-Loop environments. TRX D8 provides up to 240TB of in-vehicle storage in a compact rugged design, which also includes an Intel Xeon processor.
The storage cassette with up to 8 encrypted SAS or SATA SSDs is easily removed from the vehicle for high-speed ingest into your existing SAN. High-speed interfaces are used throughput to ensure that ingest can be completed in time for the next shift.