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      Modelling of Bio-Inspired Silicon Retina for self-motion, object motion and looming detection

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      https://www.riss.kr/link?id=A109487541

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      다국어 초록 (Multilingual Abstract)

      In this paper, a bio-inspired silicon retina designed to detect self-motion, object motion, and looming, inspired by the processing capabilities of biological visual system is presented. Building on existing research in neuromorphic engineering and visual perception, we propose a block model that integrates key principles from biology to enable the retina to autonomously differentiate between self-motion and object motion, as well as identify approaching objects that pose potential threats by looming detection. Our model leverages the dynamics of retinal processing observed in nature, translating these mechanisms into silicon-based circuits. This modular approach serves as a foundation for future development, where we aim to optimize and implement specific circuits capable of performing the desired motion detection tasks. By advancing this design, we aim to contribute to the development of more efficient and adaptive artificial vision systems for use in robotics, autonomous vehicles, and other applications requiring real-time environmental awareness.
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      In this paper, a bio-inspired silicon retina designed to detect self-motion, object motion, and looming, inspired by the processing capabilities of biological visual system is presented. Building on existing research in neuromorphic engineering and vi...

      In this paper, a bio-inspired silicon retina designed to detect self-motion, object motion, and looming, inspired by the processing capabilities of biological visual system is presented. Building on existing research in neuromorphic engineering and visual perception, we propose a block model that integrates key principles from biology to enable the retina to autonomously differentiate between self-motion and object motion, as well as identify approaching objects that pose potential threats by looming detection. Our model leverages the dynamics of retinal processing observed in nature, translating these mechanisms into silicon-based circuits. This modular approach serves as a foundation for future development, where we aim to optimize and implement specific circuits capable of performing the desired motion detection tasks. By advancing this design, we aim to contribute to the development of more efficient and adaptive artificial vision systems for use in robotics, autonomous vehicles, and other applications requiring real-time environmental awareness.

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      목차 (Table of Contents)

      • Abstract
      • Ⅰ. Introduction
      • Ⅱ. Material and method
      • Ⅲ. Modelling of Full Functional retina
      • Ⅳ. Circuit model for retinal cells
      • Abstract
      • Ⅰ. Introduction
      • Ⅱ. Material and method
      • Ⅲ. Modelling of Full Functional retina
      • Ⅳ. Circuit model for retinal cells
      • Ⅴ. Conclusion
      • References
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