The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Design of an Efficient VLSI Architecture for Collision Detection Based on Insect's Visual Interneuron

곤충의 시각 신경망 기반 충돌감지 기술의 효율적인 VLSI 구조 설계

  • Jeong, Sooyong (Dept. of Information, Communication, and Electronic Engineering, The Catholic University of Korea) ;
  • Lee, Jaehyeon (Dept. of Information, Communication, and Electronic Engineering, The Catholic University of Korea) ;
  • Song, Deokyong (Dept. of Information, Communication, and Electronic Engineering, The Catholic University of Korea) ;
  • Park, Taegeun (Dept. of Information, Communication, and Electronic Engineering, The Catholic University of Korea)
  • Received : 2018.08.24
  • Accepted : 2018.10.30
  • Published : 2018.12.01
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Abstract

In this research, the collision detection system based on insect's visual interneuron has been designed. The lobula giant movement detector (LGMD) corresponds to the movement value that increases in direct collision process. If the collision is detected by the LGMD only, it could generate a crash warning even in a non-collision situation, resulting in a lot of false alarms. Directionally sensitive movement detectors (DSMD) are directionally sensitive algorithm based on the elementary movement detectors (EMD) in four directions (up, down, left, and right). In this paper, we propose an efficient VLSI architecture for a realtime collision detection system that is robust to the surrounding environment while improving accuracy. The proposed architecture is synthesized with Dongbu Hightech 110nm standard cell library and shows 333MHz of maximum operating frequency and requires 8400 gates with about 16.5KB of internal memories.

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References

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