A 69mW 140-meter/60fps and 60-meter/300fps intelligent vision SoC for versatile automotive applications
Journal
IEEE Symposium on VLSI Circuits, Digest of Technical Papers
Pages
152-153
Date Issued
2012
Author(s)
Abstract
A machine-learning based intelligent vision SoC implemented on a 9.3 mm 2 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 (1280x960) resolution while maintaining above 90% detection rate for versatile automotive applications. The system supports 64 object tracking and prediction. It raises 1.62x improvement on power efficiency and at least 1.79x 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. © 2012 IEEE.
Event(s)
2012 Symposium on VLSI Circuits, VLSIC 2012
Other Subjects
Automotive applications; CMOS processs; Detection rates; Frame rate; Machine-learning; Object Tracking; Power efficiency; System supports; Vision SoC; CMOS integrated circuits; Knowledge based systems; VLSI circuits; Automobiles
Type
conference paper