A 69mW 140-meter/60fps and 60-meter/300fps intelligent vision SoC for versatile automotive applications

Abstract

A machine-learning based intelligent vision SoC implemented on a 9.3 mm2 die in a 40nm CMOS process is presented. The architecture realizes 140 meters active distance at 60fps and 60 meters at 300fps under Quad-VGA (1280×960) resolution while maintaining above 90% detection rate for versatile automotive applications. The system supports 64 object tracking and prediction. It raises 1.62× improvement on power efficiency and at least 1.79× increase on frame rate with the proposed knowledge-based tracking processor. The chip achieves 354.2fps/W and 3.01TOPS/W power efficiency with 69mW average power consumption.