When combined with the automated driving data collection solution, multi-sensor autonomous cars and advanced driver support systems can be developed very quickly. Massive volumes of data can be captured, kept, analysed, and played back. It’s useful for comparing different sensors and creating prototypes. The data it generates can be used to train vision and detection algorithms on real-world scenarios. It’s useful for verifying pre-production series over long distances (think: thousands of hours or millions of kilometres). In-vehicle ADAS recorders record a constant, authentic, and uncompressed stream of data. The time-synchronous replay of raw data is beneficial to the development of models for computer vision and machine learning, which are the driving forces behind autonomous cars.