|
|
|
|
|
|
| Key Parameters Demonstration for Ultra-Field Infrared System in Vehicle Application Based on Safety Distance and Imaging Size |
| LI Gang1, CHEN Yi-chao2*, ZHANG Jian-jun1, HUANG Fu-yu1, ZHANG Shuai3 |
1. Department of Electronic & Optics Engineering, Army Engineering University, Shijiazhuang 050003, China
2. Research Institute for the Chinese Armed Police Force, Beijing 100012, China
3. Beijing Institute of Tracking Telecommunications Technology, Beijing 100094, China
|
|
|
|
|
Abstract In the existing vehicle assisted driving systems, a visible imaging system is difficult to be effectively applied to night, rain, fog, haze and other bad weather conditions with low illumination. An infrared imaging system can effectively overcome the above shortcomings, but the traditional vehicle infrared system has the shortcomings of a small field of view and large blind area. The vehicle application of the ultra-field infrared system is studied in this paper, and a demonstration method of key parameters is proposed for ultra-field infrared system application by utilizing the joint constraints based on safe distance and imaging size. Specifically, the isometric projection imaging law is firstly analyzed; then, the constraint models of safety distance and imaging size are established. Finally, its feasibility is verified by the nearest detection distance corresponding to the limit speed and the longest discovery distance under the constraint of the two-dimensional Johnson criterion, and its key parameters are calculated. The ratio of the lens focal length to pixel size range of the ultra-field infrared vehicle mounted system shall be within the range of[276.1 521.3] through theoretical demonstration and analysis. The system experiments designed the ultra-field infrared imaging system with a horizontal field angle of 140° is designed in the system experiments. The detection distance of the infrared imaging system is more than 130 m, which can meet the requirement of discovery distance for auxiliary driving.
|
|
Received: 2020-11-26
Accepted: 2021-11-29
|
|
|
|
Corresponding Authors:
CHEN Yi-chao
E-mail: cycoptics@163.com
|
|
[1] Li L, Wen D, Zheng N N, et al. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(1): 395.
[2] Kim B, Kim D, Park S, et al. IFAC-PapersOnLine, 2016, 49(11): 190.
[3] CHEN Xiao-dong, ZHANG Jia-chen, PANG Wei-song, et al(陈晓冬, 张佳琛, 庞伟凇, 等). Opto-Electronic Engineering(光电工程), 2019, 46(7): 190182.
[4] ZHANG Chi, TAN Nan-lin, LI Xiang, et al(张 驰，谭南林，李 响，等). Journal of Beijing University of Aeronautics and Astronautics(北京航空航天大学学报)，2019，45(2)：309
[5] Baek I, Davies A, Yan G, et al. Real-time Detection, Tracking, and Classification of Moving and Stationary Objects Using Multiple Fisheye Images. 2018 IEEE Intelligent Vehicles Symposium (IV), 2018. 447.
[6] Chen Y, Yang H, Li C, et al. Robust Pedestrian Detection and Tracking with Shadow Removal in Indoor Environments. 2013 International Joint Conference on Awareness Science and Technology & Ubi-media Computing, 2013. 590.
[7] XIE Jiang-rong, LI Bing, WEI Hong(谢江荣, 李 冰, 卫 红). Laser and Infrared(激光与红外), 2019，49(8): 961.
[8] SHI Yong-biao, ZHANG Yong(石永彪, 张 湧.). Infrared Technology(红外技术), 2019, 41(6): 504.
[9] He Y Z, Deng B Y, Wang H J, et al. Infrared Physics & Technology, 2021, 116: 103754.
[10] Yu X, Zhou Z J, Gao Q, et al. Infrared Physics & Technology, 2018, 88: 184.
[11] Yu X, Zhou Z J. Neural Processing Letters, 2020, 51(1): 2575.
[12] ZHANG Shuai, LIU Bing-qi, HUANG Fu-yu, et al(张 帅, 刘秉琦, 黄富瑜, 等). Laser and Infrared(激光与红外), 2016, 46(10): 1176.
[13] JIANG Shan, HAN Bo-tang(江 山, 韩伯棠). Study on the Method to Keep an Operable Safe Distance Between Vehicles(可操作的保持安全车距的方法研究). Proceedings of the 12th Annual Coference of Chinese Management Science(12届中国管理科学学术年会论文集), 2010.
[14] YOU Rui-rong, WANG Xin-wei, REN Peng-dao, et al(游瑞蓉, 王新伟, 任鹏道, 等). Infrared and Laser Engineering(红外与激光工程), 2016, 45(12): 1217003.
[15] BAI Ting-zhu, JIN Wei-qi(白廷柱, 金伟其). Principles and Technology of Optoelectronic Imaging(光电成像原理与技术). Beijing: Beijing Institute of Technology Press(北京：北京理工大学出版社), 2016.
[16] QIN Yan-hua, GUO Tao-tao, ZHANG Peng-fei, et al(秦琰华, 郭涛涛, 张鹏飞, 等). Journal of Projectiles, Rockets, Missiles and Gaidance(弹箭与制导学报), 2011, 31(4): 31.
[17] LIU Bing-qi, ZHANG Shuai, HUANG Fu-yu, et al(刘秉琦, 张 帅, 黄富瑜, 等). Semicoductor Optoelectronics(半导体光电), 2017, 38(2): 246.
[18] ZHANG Shuai, LIU Bing-qi, HUANG Fu-yu, et al(张 帅，刘秉琦，黄富瑜, 等). Acta Photonica Sinica(光子学报), 2018, 47(11): 1110002.
[19] ZHU Liang(朱 梁). Journal of Beijing Film Academy(北京电影学院学报), 2016, 130(4): 8.
|
| [1] |
MA Xiao-dan1*, LIU Meng1, GUAN Hai-ou1, WEN Feng-rui1, LIU Gang2. Recognition Method for Crop Canopies Based on Thermal Infrared Image Processing Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(01): 216-222. |
| [2] |
LU Wei1, HAN Zhao1, JIAN Xing-liang1, Zhou Ji2, JIANG Dong3, DING Yan-feng3. Maize Root Phenotypic Detection Based on Thermal Imaging and Root Gap Repair Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(09): 2845-2850. |
| [3] |
CHEN Xin-xin1, 3, 4, LIU Zi-yi1, 3, 4, Lü Mei-qiao2*, ZHANG Chu1, 3, 4, YAO Jie-ni1, 2, HE Yong1, 3, 4*. Diagnosis and Monitoring of Sclerotinia Stem Rot of Oilseed Rape Using Thermal Infrared Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(03): 730-737. |
| [4] |
YAO Zhi-feng1,2, HE Dong-jian1,2*, LEI Yu1,2. Early Nondestructive Detection of Wheat Stripe Rust Using Infrared Thermal Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(10): 3303-3309. |
| [5] |
FANG Zheng, OUYANG Qi-nan, ZENG Fu-rong, CHEN Si-yuan, MA Sheng-lin* . Study on the Estimation Algorithm of the Temperature Based on Mid-Wave Infrared Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(04): 960-966. |
| [6] |
WANG Fei1, WU De-jun1, ZHAI Guo-feng2, ZANG Li-peng3 . Diagnosing Low Health and Wood Borer Attacked Trees of Chinese Arborvitae by Using Thermography[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(12): 3410-3415. |
| [7] |
LI Mei-chao1, YI Jing-miao1, LU Jin-jin1, LI Jing1, ZHAO Wei-juan2 . Studies on Corrosion Property of the Anodic Coating on the Mg Alloy by Micro-FTIR Mapping [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(01): 52-57. |
| [8] |
WANG Dong1, 3, MA Zhi-hong2, ZHAO Liu2, PAN Li-gang2, LI Xiao-ting2, WANG Ji-hua1, 2* . Comparative Research on the NIR and MIR Micro-Imaging of Two Similar Plastic Materials[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(09): 2377-2382. |
| [9] |
YUAN Ting, XU Chen-guang, REN Yong-xin, FENG Qing-chun, TAN Yu-zhi, LI Wei* . Detecting the Information of Cucumber in Greenhouse for Picking Based on NIR Image [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(08): 2054-2058. |
| [10] |
ZHENG Ai-guo1, ZHAO Ying1, XU Yi-zhuang2*, WANG Du-jin1, ZHANG Xiu-qin1, ZHOU Yong1, WENG Shi-fu2, WU Jin-guang2，XU Duan-fu1. Investigation of PP／PE Blend with FTIR Mapping [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2004, 24(07): 803-805. |
|
|
|
|
