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Vision platform for mobile intelligent robot based on 81.6 GOPS object recognition processor

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5 Author(s)
Donghyun Kim ; Dept. of EECS, KAIST, 373-1, Gu-Seong Dong, Yu-Seong Gu, Daejeon, 305-701, KOREA ; Kwanho Kim ; Joo-Young Kim ; Seungjin Lee
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To enable power-efficient object recognition of mobile intelligent robots, 81.6 GOPS object recognition processor is proposed. Based on analysis of scale invariant feature transform (SIFT) algorithm, architecture of the proposed processor is designed to support both task and data level parallelism. 10 processing elements (PEs) are integrated for task parallelism, and each PE is equipped with SIMD instruction for data parallelism as well. In addition, Visual Image Processing memory replaces complex local maximum pixel search operation with a single read operation for further performance gain. With the proposed processor, we also realized vision platform for real-time SIFT computation of mobile robots. The chip operation is tested up to 200 MHz and consumes 540 mW in the vision platform at 1.8 V supply voltage and 100 MHz operation frequency.

Published in:

Design Automation Conference, 2008. DAC 2008. 45th ACM/IEEE

Date of Conference:

8-13 June 2008