Low-Power, Bio-Inspired Time-Stamp-Based 2-D Optic Flow Sensor for Artificial Compound Eyes of Micro Air Vehicles

Park, Seokjun; Lee, Kyuseok; Song, Hyunsoo; Cho, Ji-Hyun; Park, Sung-Yun; Yoon, Euisik

doi:10.1109/jsen.2019.2938559

Cited by 6 publications

(7 citation statements)

References 35 publications

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“…Альтернативою сучасним цифровим камерам вважають фасетні системи технічного зору (ФСТЗ), які мають побудову схожу на фасетні органи зору безхребетних істот [9][10][11][12][13]. Відомо, що фасетні органи зору складаються з великої кількості однакових елементів (фасеток), які розміщенні на деякій напівсферичній поверхні і працюють незалежно один від одного [5][6][7].…”

Section: вступunclassified

“…Використання такого підходу надає перевагу у незалежному зчитуванні та обробці сигналів з фотоприймачів у кожній фасетці за короткий проміжок часу [8][9][10]. Її висока просторова роздільна здатність та велике поле зору дозволяє уникнути обертань та переміщень системи в різних напрямках, що спрощує будову та габарити [11][12][13].…”

Section: вступunclassified

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Classification of Facet Systems of Technical Vision

Borovytsky¹,

Antonenko²

2022

Opt-el. Inf-Power Techn.

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The article proposes a classification of facet systems of technical vision. According to this classification, all systems are divided into groups depending on the type of optical system, which can be represented as a combination of microlenses, optical fibers and an objective, and the type of photoreceptors - matrix, linear or single-element photoreceptor. The construction of facet systems was considered, an analysis of their advantages and disadvantages was performed, recommendations were formulated regarding the choice of a facet system of technical vision.

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Section: вступunclassified

Classification of Facet Systems of Technical Vision

Borovytsky¹,

Antonenko²

2022

Opt-el. Inf-Power Techn.

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“…The optical sensor worked on the compound vision principle and could be used for remotely measuring the displacements. Implementing a 2D optic flow sensor based on the compound vision of flying insects in an autonomous MAV indicated that the sensor could track objects successfully at a maximum frame rate of 120fps [88]. Multiple sensors were efficiently assembled within the synthetic compound eye and also had low power consumption.…”

Section: (B) Sensorsmentioning

confidence: 99%

State of the Art Review about Bio-Inspired Design and Applications: An Aerospace Perspective

et al. 2021

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The field of bio-inspired design has tremendously transitioned into newer automated methods, yet there are methods being discovered which can elucidate underlying principles in design, materials, and manufacturing. Bio-inspired design aims to translate knowledge from the natural world to the current trends in industry. The recent growth in additive manufacturing (AM)methods has fueled the tremendous growth of bio-inspired products. It has enabled the production of intricate and complicated features notably used in the aerospace industry. Numerous methodologies were adopted to analyse the process of bio-inspired material selection, manufacturing methods, design, and applications. In the current review, different approaches are implemented to utilize bio-inspired designs that have revolutionized the aerospace industry, focusing on AM methods.

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“…Until now, various studies have achieved high sensitivity and WDR performance for mobile applications [2,3]. Based on these studies, we propose a WDR-FE readout scheme for a machine vision CIS.…”

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confidence: 99%

CMOS image sensor for wide dynamic range feature extraction in machine vision

Kim

2021

Electronics Letters

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This letter presents a wide dynamic range (WDR) feature extraction (FE) readout scheme for machine vision applications using CMOS image sensors (CISs). The proposed scheme with the proposed pixel structure has two operating modes, the normal and WDR modes. In the normal operating mode, the proposed CIS captures a normal image with high sensitivity. In addition, as a unique function, a bi-level image is obtained for real-time FE even if a pixel is saturated in strong illumination conditions. Thus, compared to typical CISs for machine vison, the proposed CIS can reveal object features that are blocked by light in real time. In the WDR operating mode, the proposed CIS produces a WDR image with its corresponding bi-level image. A prototype CIS was fabricated using a standard 0.35-μm 2P4M CMOS process with a 320 × 240 format (QVGA) with 10-μm pitch pixels. At 60 fps, the measured power consumption was 5.98 mW at 3.3 V for pixel readout and 2.8 V for readout circuitry. The dynamic range of 73.1 dB was achieved in the WDR operating mode.

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Low-Power, Bio-Inspired Time-Stamp-Based 2-D Optic Flow Sensor for Artificial Compound Eyes of Micro Air Vehicles

Cited by 6 publications

References 35 publications

Classification of Facet Systems of Technical Vision

Classification of Facet Systems of Technical Vision

State of the Art Review about Bio-Inspired Design and Applications: An Aerospace Perspective

CMOS image sensor for wide dynamic range feature extraction in machine vision

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