7.2 A 20.5TOPS and 217.3GOPS/mm2 Multicore SoC with DNN Accelerator and Image Signal Processor Complying with ISO26262 for Automotive Applications

Vehicles with features for an advanced driver-assistance system (ADAS) are already available on the market. Technologies for image recognition are essential elements for ADAS applications, and several SoCs performing image recognition for ADAS have been developed [1-3]. As vehicles that support ADAS become more complicated, these technologies need improvement. Recently, deep neural networks (DNNs) have achieved higher recognition accuracy than traditional feature-based matching algorithms, and can be applied to applications such as road detection. Consequently, several image recognition SoCs with DNN processors [4-5] have been developed. Functional safety is important for automotive applications, so several SoCs, such as [2], comply with ISO26262. The requirements for SoCs that support ADAS features are: high performance for detecting various objects, low power use to keep execution stable in the rapidly changing environment of moving vehicles, and high safety to avoid serious accidents.