For autonomous driving, multiple sensors are combined and their data transmitted to a so-called ECU (Electronic central unit) in which the data from the sensors are jointly analyzed and related actions calculated. Data from these sensors need to be processed with maximum responsiveness, therefore implying a very low latency along the whole dataflow.

In terms of implementation and given the number of sensors, power consumption needs to be constrained as much as possible. The cabling inside the car is critical. High-resolution cameras and limited interface bandwidths require compression to reduce the bandwidth during live transmission and/or aggregating multiple sensor streams on one port/cable.

The in-car transmission - or infotainment - is a collection of hardware and software in automobiles that provides audio or video entertainment as automotive navigation systems, video players, USB and Bluetooth connectivity, Carputers, in-car internet, and WiFi.

Automotive always requires more cameras that generate an incredible amount of data and thus heavier bandwidth. 

Our objective with the RAW compression is to avoid the multiplication of heavy cables that would imply extra cost, extra space requirement and extra power consumption.

Furthermore, in this kind of extremely sensitive use, we cannot afford to neglect the latency; the slightest delay could have catastrophic consequences.