On the other hand, the write and read cycles for ADAS systems are almost equal as they continuously collect data from numerous sensors that monitor and perceive what is happening inside and outside the car to execute decisions that can ultimately save lives.
Systems on which data is written and read almost equally are edge gateways. Gateways basically function as bridges, meaning that data goes to and comes from the cloud. It also allows data to be stored, analysed and processed at or closer to the data source rather than in a centralized cloud-based location. This also improves the workload of the network, reduces cost and optimizes the collected data that is necessary to make a swift response. Common ADAS technologies enable vehicles to perform some functions autonomously or with very little human interaction such as automatic breaking, lane departure warning or self-parking. Self-aware vehicles that are equipped with a Driver Monitoring System (DMS) provide real time information of the driver’s state and can make instant decisions according to the situation to ensure the driver’s safety. Especially errors caused by humans can be reduced, for example with driver drowsiness detection.