Title :
A 69mW 140-meter/60fps and 60-meter/300fps intelligent vision SoC for versatile automotive applications
Author :
Tsai, Yi-Min ; Yang, Tien-Ju ; Tsai, Chih-Chung ; Huang, Keng-Yen ; Chen, Liang-Gee
Author_Institution :
DSP/IC Design Lab., Nat. Taiwan Univ., Taipei, Taiwan
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.
Keywords :
CMOS digital integrated circuits; automotive electronics; computer vision; electronic engineering computing; learning (artificial intelligence); object tracking; system-on-chip; CMOS process; automotive applications; distance 140 m; distance 60 m; intelligent vision SoC; knowledge-based tracking processor; machine-learning; object tracking; power 69 mW; power consumption; quadVGA resolution; size 40 nm; Calculators; Engines; Feature extraction; Indexes; Knowledge based systems; Shape; System-on-a-chip;
Conference_Titel :
VLSI Circuits (VLSIC), 2012 Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4673-0848-9
Electronic_ISBN :
978-1-4673-0845-8
DOI :
10.1109/VLSIC.2012.6243835
