Raw image, lidar and radar sensor data gain more importance in the development of modern cars particulary in the field of AD (Autonomous Driving) and (Advanced Driver Assistance Systems). Large numbers of these data is recorded every day. Currently there is no harmonized way to store these types of data in ASAM MDF4.x. This complicates the development of tools that want to access them. It also means that the different analysis tools are not interoperable due to the different ways of writing the data. Achieving this interoperability is one of the main goals of ASAM ADAS 4.x as a MDF standard for exchanging data in the automotive industry. file format
The aim of this project is to clarify how sensor raw data can be handled in ASAM 4.x. Use cases and requirements that have been collected so far are detailed in the MDFproject proposal (download requires member login). The proposal can be commented and further requirements can be requested.
About ASAM MDF
( MDF Data Format) is a binary Measurement to store recorded or calculated data for post- file format processing, off-line evaluation or long-term storage. The format has become a de-facto measurement for standard & measurement systems ( calibration-systems), but is also used in many other application areas. MC
As a compact binary format, ASAM offers efficient and high performance storage of huge amounts of MDF data. measurement is organized in loosely coupled binary blocks for flexible and high performance writing and reading. Fast index-based access to each sample can be achieved by loss-free re-organization (i.e. sorting) of the data. Distributed data blocks even make it possible to directly write sorted MDF files. The MDF allows storage of raw file format values and corresponding conversion formulas; therefore raw data can still be interpreted correctly and evaluated by post-processing tools. measurement