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Artificial compound eye: a survey of the state-of-the-art

Artificial Intelligence Review volume 48, pages 573–603 (2017)Cite this article

Abstract

An artificial compound eye system is the bionic system of natural compound eyes with much wider field-of-view, better capacity to detect moving objects and higher sensitivity to light intensity than ordinary single-aperture eyes. In recent years, renewed attention has been paid to the artificial compound eyes, due to their better characteristics inheriting from insect compound eyes than ordinary optical imaging systems. This paper provides a comprehensive survey of the state-of-the-art work on artificial compound eyes. This review starts from natural compound eyes to artificial compound eyes including their system design, theoretical development and applications. The survey of artificial compound eyes is developed in terms of two main types: planar and curved artificial compound eyes. Finally, the most promising future research developments are highlighted.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (61373047, 61672437), the projects supported by the State Key Laboratory of Robotics No. 2014-O09, by Scientific Research Foundation of CUIT under Grant No. J201508, by Scientific Research Fund of Sichuan Provincial Science & Technology Department under Grant No. 2015GZ0304, and by Fund of Robot Technology Used for Special Environment Key Laboratory of Sichuan Province No. 14zxtk04.

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Authors and Affiliations

  1. School of Electrical Engineering, Southwest Jiaotong University, Chengdu, 610031, People’s Republic of China

    Sidong Wu & Gexiang Zhang

  2. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, People’s Republic of China

    Sidong Wu, Chunguang Bu & Jianda Han

  3. Control Engineering College, Chengdu University of Information Technology, Chengdu, 610225, People’s Republic of China

    Tao Jiang & Ming Zhu

  4. Department of Neurobiology/Animal Physiology, Biocenter Cologne, Institute of Zoology, University of Cologne, Zülpicherstrasse 47b, 50674, Cologne, Germany

    Brigitte Schoenemann

  5. Institute of Biology Education (Zoology), University of Cologne, Herbert Lewinstrasse 2, 50931, Cologne, Germany

    Brigitte Schoenemann

  6. Centre for Computational Intelligence, School of Computer Science and Informatics, De Montfort University, The Gateway, Leicester, LEI 9BH, England, UK

    Ferrante Neri

  7. Department of Mathematical Information Technology, University of Jyväskylä, Agora, P. O. Box 35, 40014, Jyväskylä, Finland

    Ferrante Neri

  8. Institute of Real Time Learning Systems, University of Siegen, 57076, Siegen, Germany

    Klaus-Dieter Kuhnert

  9. School of Mechanical Engineering, Xihua University, Chengdu, 610039, People’s Republic of China

    Gexiang Zhang

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  1. Sidong Wu
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  2. Tao Jiang
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  3. Gexiang Zhang
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  4. Brigitte Schoenemann
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  5. Ferrante Neri
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  6. Ming Zhu
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  7. Chunguang Bu
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  8. Jianda Han
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  9. Klaus-Dieter Kuhnert
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Correspondence to Gexiang Zhang.

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Wu, S., Jiang, T., Zhang, G. et al. Artificial compound eye: a survey of the state-of-the-art. Artif Intell Rev 48, 573–603 (2017). https://doi.org/10.1007/s10462-016-9513-7

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