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Depth Perception and Distance Assessment Under Night Vision Goggles and Their Influence Factor

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Man-Machine-Environment System Engineering (MMESE 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 941))

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Abstract

Objective: To review the research progress of depth perception and distance assessment under night vision goggles in foreign and domestic countries, and to understand the influence of night vision goggles on depth perception and distance assessment. Method: 35 references and reports in related fields at home and abroad were cited. Result: This paper studies the influence of night vision goggles on depth perception or distance assessment, and focuses on the internal factors of night vision goggles leading to depth perception problems, such as narrow field of vision, resolution, image noise, instrument myopia, spectral sensitivity effect and binocular vision, as well as some external factors, such as contrast, illumination observation condition and the interaction between various factors. Finally, depth perception training is briefly summarized. Conclusions: Due to the influence of the working environment of night vision goggles and the limitation of the special structure of night vision goggles, night vision goggles reduce ability of airmen to judge the depth perception and distance. The accuracy of judgment can be improved through the depth perception training under night vision goggles.

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Acknowledgements

This work is supported by National Military Standard, China (No. BKJ18B033). Chen Shan and Dawei Tian contributed equally to this work as co-first author of the paper.

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Authors and Affiliations

  1. Air Force Medical Center, Fourth Military Medical University, Beijing, 100142, China

    Shan Chen, Dawei Tian, Fei Yu, Qinglin Zhou & Jian Du

  2. Rocket Army Medical Center, PLA, Beijing, 100088, China

    Qingsheng Xiang & Zengming Li

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  1. Shan Chen
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  2. Dawei Tian
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  3. Fei Yu
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  4. Qinglin Zhou
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  5. Jian Du
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  6. Qingsheng Xiang
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  7. Zengming Li
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Correspondence to Zengming Li .

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Editors and Affiliations

  1. Astronaut Center of China, Beijing, China

    Shengzhao Long

  2. Department of Mechanical Engineering, University of Ottawa, Ottawa, ON, Canada

    Balbir S. Dhillon

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Chen, S. et al. (2023). Depth Perception and Distance Assessment Under Night Vision Goggles and Their Influence Factor. In: Long, S., Dhillon, B.S. (eds) Man-Machine-Environment System Engineering. MMESE 2022. Lecture Notes in Electrical Engineering, vol 941. Springer, Singapore. https://doi.org/10.1007/978-981-19-4786-5_17

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  • DOI: https://doi.org/10.1007/978-981-19-4786-5_17

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