ZHUANG Yabao, LIU Jie, XUE Hao, ZHU Xiangbing. Vehicle Infrared Illumination System for Assistant Driving[J]. Infrared Technology , 2023, 45(9): 990-995.
Citation: ZHUANG Yabao, LIU Jie, XUE Hao, ZHU Xiangbing. Vehicle Infrared Illumination System for Assistant Driving[J]. Infrared Technology , 2023, 45(9): 990-995.

Vehicle Infrared Illumination System for Assistant Driving

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  • Received Date: June 18, 2022
  • Revised Date: July 19, 2022
  • An onboard infrared supplementary illumination system is designed through software simulations to solve the problem of low recognition accuracy caused by insufficient ambient illumination and rapid changes in ambient light intensity in an advanced driving assistance image recognition system. IR light-emitting diodes (LEDs) are used as light sources. After collimating the light emitted by the light source with a paraboloid mirror, a compound eye lens is used to realize a rectangular spot with uniformity greater than 90% 25 m away from the light source with radiation energy-use efficiency reaching 98%. The target surface is illuminated using 30 light-source module arrays, and the average irradiance of the target surface is greater than 0.8 W/m2. The results show that the assembly tolerance of a single-compound eye lens is looser, and the design method is flexible and suitable for use in other lighting systems.
  • [1]
    畅里华, 王旭, 温伟峰. 高速摄影激光照明技术取得新进展[J]. 强激光与粒子束, 2018, 30(4): 1-3. https://www.cnki.com.cn/Article/CJFDTOTAL-QJGY201804002.htm

    CHANG Lihua, WANG Xu, WEN Weifeng. New progress has been made in laser illumination technology for high-speed photography[J]. High Power Laser and Particle Beams, 2018, 30(4): 1-3. https://www.cnki.com.cn/Article/CJFDTOTAL-QJGY201804002.htm
    [2]
    李堃. 面向辅助驾驶的全天候灯语识别技术研究[D]. 南京: 南京航空航天大学, 2019: 47-48.

    LI Kun. Research on All-Weather Light Recognition Technology for Assisted Driving[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2019: 47-48.
    [3]
    柳毅. 面向智能辅助驾驶的道路目标检测和路况识别技术[D]. 武汉: 华中科技大学, 2020: 32-43.

    LIU Yi. Road Target Detection and Road Condition Recognition Technology for Intelligent Assisted Driving[D]. Wuhan: Huazhong University of Science and Technology, 2020: 32-43.
    [4]
    滕碧红. 微光环境下基于R-CNN优化算法的交通道路图像识别[J]. 重庆科技学院学报: 自然科学版, 2021, 23(6): 64-69. https://www.cnki.com.cn/Article/CJFDTOTAL-CQSG202106014.htm

    TENG Bihong. Traffic road image recognition based on R-CNN optimization algorithm in low light environment[J]. Journal of Chongqing University of Science and Technology: Natural Sciences Edition, 2021, 23(6): 64-69. https://www.cnki.com.cn/Article/CJFDTOTAL-CQSG202106014.htm
    [5]
    Borrego Carazo J, Castells Rufas D, Biempica E, et al. Resource-constrained machine learning for ADAS: a systematic review[J]. IEEE Access, 2020, 8: 40573-40598. DOI: 10.1109/ACCESS.2020.2976513
    [6]
    刘杰, 翟从鸿, 朱向冰. 红外光学系统在辅助驾驶中的应用研究[J]. 中国照明电器, 2019(12): 16-19. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGZM201912007.htm

    LIU Jie, ZHAI Conghong, ZHU Xiangbing. Application of infrared optical system in assisted driving[J]. China Light & Lighting, 2019(12): 16-19. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGZM201912007.htm
    [7]
    许俊. 汽车主动夜视红外发射系统研究[D]. 长春: 吉林大学, 2017: 1-5.

    XU Jun. Research on Automobile Active Night Vision Infrared Emission System[D]. Changchun: Jilin University, 2017: 1-5.
    [8]
    陈庆佑. 主动式红外夜视仪中的几个重要参数问题[J]. 红外技术, 1985(4): 22-27. https://www.cnki.com.cn/Article/CJFDTOTAL-HWJS198504004.htm

    CHEN Qingyou. Several important parameter problems in active infrared night vision instrument [J]. Infrared Technology, 1985(4): 22-27. https://www.cnki.com.cn/Article/CJFDTOTAL-HWJS198504004.htm
    [9]
    周平. 液晶投影仪照明系统的研究[D]. 杭州: 浙江大学, 2004: 19-32.

    ZHOU Ping. Research on Lighting System of Liquid Crystal Projector[D]. Hangzhou: Zhejiang University, 2004: 19-32.
    [10]
    王沛沛, 杨西斌, 朱剑锋, 等. 基于复眼透镜的大面积均匀照明方案研究[J]. 应用光学, 2014, 35(5): 771-778. https://www.cnki.com.cn/Article/CJFDTOTAL-YYGX201405008.htm

    WANG Peipei, YANG Xibin, ZHU Jianfeng, et al. Research on large area uniform illumination scheme based on compound eye lens[J]. Applied Optics, 2014, 35(5): 771-778. https://www.cnki.com.cn/Article/CJFDTOTAL-YYGX201405008.htm
    [11]
    云竹溪, 杨波, 潘帅, 等. 应用于工业扫描枪的照明系统设计[J]. 光学仪器, 2020, 42(3): 45-49. https://www.cnki.com.cn/Article/CJFDTOTAL-GXYQ202003007.htm

    YUN Zhuxi, YANG Bo, PAN Shuai, et al. Design of lighting system for industrial scanning gun[J]. Optical Instruments, 2020, 42(3): 45-49. https://www.cnki.com.cn/Article/CJFDTOTAL-GXYQ202003007.htm
    [12]
    张燃, 张国玉, 张健, 等. 大面积发散太阳模拟器的均匀照明[J]. 光学精密工程, 2019, 27(3): 552-560. https://www.cnki.com.cn/Article/CJFDTOTAL-GXJM201903007.htm

    ZHANG Ran, ZHANG Guoyu, ZHANG Jian, et al. Uniform illumination of large area divergent solar simulator[J]. Optics and Precision Engineering, 2019, 27(3): 552-560. https://www.cnki.com.cn/Article/CJFDTOTAL-GXJM201903007.htm
    [13]
    郭昊成, 黄宇欣, 郭方正. 基于液体透镜的复眼透镜阵列的照明特性研究[J]. 电脑知识与技术, 2020, 16(29): 210-211. https://www.cnki.com.cn/Article/CJFDTOTAL-DNZS202029087.htm

    GUO Haocheng, HUANG Yuxin, GUO Fangzheng. Study on illumination characteristics of compound eye lens array based on liquid lens[J]. Computer Knowledge and Technology, 2020, 16(29): 210-211. https://www.cnki.com.cn/Article/CJFDTOTAL-DNZS202029087.htm
    [14]
    陈宇灏. 光学自由曲面在LED道路照明领域的应用研究[D]. 杭州: 浙江大学, 2016: 12-26.

    CHEN Yuhao. Application of Optical Free-Form Surface in LED Road Lighting[D]. Hangzhou: Zhejiang University, 2016: 12-26.
    [15]
    陈忠雨. 基于自由曲面的紫外LED匀光系统研究[D]. 重庆: 中国科学院大学(中国科学院重庆绿色智能技术研究院), 2018: 13-20.

    CHEN Zhongyu. Research on UV LED Smoothing System Based on Free-Form Surface[D]. Chongqing: University of Chinese Academy of Sciences (Chongqing Institute of Green Intelligent Technology, Chinese Academy of Sciences), 2018: 13-20.
    [16]
    上海汽车灯具研究所. 发射对称近光和/或远光的机动车前照灯[S]. GB 19152-2016, 北京: 中国标准出版社, 2016.

    The Institute of Shanghai Automotive Lighting. Motor Vehicle Headlamps Emitting a Symmetrical Passing Beam or A Driving Beamor Both[S]. GB 19152-2016, Beijing: Standards Press of China, 2016.
    [17]
    王红培, 栾光琦, 田超, 等. 天气条件对车载红外辅助驾驶性能的影响[J]. 红外与激光工程, 2020, 49(7): 1-7. https://www.cnki.com.cn/Article/CJFDTOTAL-HWYJ202007010.htm

    WANG Hongpei, LUAN Guangqi, TIAN Chao, et al. The influence of weather conditions on vehicle infrared assisted driving performance[J]. Infrared and Laser Engineering, 2020, 49(7): 1-7. https://www.cnki.com.cn/Article/CJFDTOTAL-HWYJ202007010.htm
    [18]
    张以谟. 应用光学[M]. 北京: 电子工业出版社, 2021: 44.

    ZHANG Yimo. Applied Optics[M]. Beijing: Electronic Industry Press, 2021: 44.
    [19]
    李建军, 褚春艳, 卢玮彤, 等. 微透镜阵列的制备与应用研究进展[J]. 光学学报, 2021, 41(21): 9-32. https://www.cnki.com.cn/Article/CJFDTOTAL-GXXB202121001.htm

    LI Jianjun, CHU Chunyan, LU Weitong, et al. Research progress in preparation and application of microlens array [J]. Acta optica Sinica, 2021, 41(21): 9-32. https://www.cnki.com.cn/Article/CJFDTOTAL-GXXB202121001.htm
    [20]
    尹超, 李艳秋, 闫旭, 等. 深紫外光刻照明系统的微反射镜阵列公差分析[J]. 光学学报, 2020, 40(7): 150-156. https://www.cnki.com.cn/Article/CJFDTOTAL-GXXB202007017.htm

    YIN Chao, LI Yanqiu, YAN Xu, et al. Tolerance analysis of micro mirror array in deep UV lithography illumination system[J]. Acta optica Sinica, 2020, 40(7): 150-156. https://www.cnki.com.cn/Article/CJFDTOTAL-GXXB202007017.htm
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