Automotive

Why HDF Technologies?

HDF5’s scalability, ability to handle every kind of engineering data, and strong support for HPC applications make it a good solution in addressing the challenges of working with enormous volumes of complex data.

HDF5 can encode + enrich + compact all types of sensor data. In addition, many frameworks support HDF5. HDF5 is heavily used when it comes to collecting sensor data — regardless of whether for machine learning or autonomous driving. Raw sensors and camera frame data are formatted in HDF5 files for easy use in machine learning and controls software.

How HDF Technologies are Used

• Data archiving and vehicle testing
• Design and simulation for cars and trucks
• Engine design and optimization (combustion and alternative energy)
• Aerodynamic modeling for high performance cars
• Autonomous vehicle testing