Design of three-dimensional imaging lidar optical system for large field of view scanning
Qing-Yan Li(李青岩)1,2, Yu Zhang(张雨)1, Shi-Yu Yan(闫诗雨)1, Bin Zhang(张斌)1, and Chun-Hui Wang(王春晖)1,2,†
1 National Key Laboratory of Tunable Laser Technology, Harbin Institute of Technology, Harbin 150001, China; 2 Geling Institute of Artificial Intelligence and Robotics, Shenzhen 518063, China
Abstract Three-dimensional (3D) lidar has been widely used in various fields. The MEMS scanning system is one of its most important components, while the limitation of scanning angle is the main obstacle to improve the demerit for its application in various fields. In this paper, a folded large field of view scanning optical system is proposed. The structure and parameters of the system are determined by theoretical derivation of ray tracing. The optical design software Zemax is used to design the system. After optimization, the final structure performs well in collimation and beam expansion. The results show that the scan angle can be expanded from ±5° to ±26.5°, and finally the parallel light scanning is realized. The spot diagram at a distance of 100 mm from the exit surface shows that the maximum radius of the spot is 0.506 mm with a uniformly distributed spot. The maximum radius of the spot at 100 m is 19 cm, and the diffusion angle is less than 2 mrad. The energy concentration in the spot range is greater than 90% with a high system energy concentration, and the parallelism is good. This design overcomes the shortcoming of the small mechanical scanning angle of the MEMS lidar, and has good performance in collimation and beam expansion. It provides a design method for large-scale application of MEMS lidar.
(Vision: light detection, adaptation, and discrimination)
Fund: Project supported by the Shenzhen Fundamental Research Program (Grant No. JCYJ2020109150808037), the National Key Scientific Instrument and Equipment Development Projects of China (Grant No. 62027823), and the National Natural Science Foundation of China (Grant No. 61775048).
Corresponding Authors:
Chun-Hui Wang
E-mail: wangch_hit@163.com
Cite this article:
Qing-Yan Li(李青岩), Yu Zhang(张雨), Shi-Yu Yan(闫诗雨),Bin Zhang(张斌), and Chun-Hui Wang(王春晖) Design of three-dimensional imaging lidar optical system for large field of view scanning 2022 Chin. Phys. B 31 074201
[1] Liu H, Chen P, Mao Z H, Pan D L and He Y 2018 Opt. Express26 29134 [2] Barton-Grimley R A, Stillwell R A and Thayer J P 2018 Opt. Express26 26030 [3] Kong Z, Liu Z, Zhang L S, Guan P, Li L M and Mei L 2018 Sensors18 1880 [4] Chen Y W, Tang J, Jiang C H, Zhu L L, Lehtomaki M, Kaartinen H, Kaijaluoto R, Wang Y W, Hyyppa J, Hyyppa H, Zhou H, Pei L and Chen R Z 2018 Sensors18 3228 [5] Shangguan M J, Xia H Y, Dou X K, Wang C, Qiu J W, Zhang Y P, Shu Z F and Xue X H 2015 Chin. Phys. B24 094212 [6] Huang L W, Li S Q, Zhu A Q, Fan X Y, Zhang C Y and Wang H Y 2018 Sensors18 3014 [7] Du B C, Li Z H, Shen G Y, Zheng T X, Zhang H Y, Yang L and Wu G 2019 Chin. Phys. Lett.36 094201 [8] Li Y X, Cui T X, Li Q Y, Zhang B, Bai Y R and Wang C H 2019 Optik181 555 [9] Jeong J, Yoon T S and Park J B 2018 Sensors18 2571 [10] Baeg S H, Park S D, Shin J O and Cho K U S Patent 09091535[2015-7-28] [11] Schwarz B 2010 Nat. Photonics7 429 [12] Srettner R 2010 Laser Radar Technology and Applications XV, May 4, Orlando, United States 768405 [13] Chen C I and Stettner R 2011 Laser Radar Technology and Applications XVI, June 8, Orlando, United States 80370Q [14] Poulton C V, Yaacobi A, Cole D B, Byrd M J, Raval M, Vermeulen D and Watts M R 2017 Opt. Lett.42 4091 [15] Miller S A, Chang Y C, Phare C T, Shin M C, Zadka M, Roberts S P, Stern B, Ji X C, Mohanty A, Gordillo O A J, Dave U D and Lipson M 2020 Optica7 3 [16] Li Q Y, Yan S Y, Zhang B and Wang C H 2021 Chin. Phys. B30 024205 [17] Qi B L, Wang C H, Guo D B and Zhang B 2021 Chin. Phys. B30 044206 [18] Li Q Y, Yang Y F, Yan S Y, Zhang B and Wang C H 2021 Optik246 167760 [19] Niclass C, Ito K, Soga M, Matsubara H, Aoyagi I, Kato S and Kagami M 2012 Opt. Express20 11863 [20] Pang Y J, Zhang Y X, Yang H D, Zhu P, Gai Y, Zhao J and Huang Z H 2016 Infrared Phys. Technol.78 129 [21] Milanovic V, Castelino K and McCormick D T 2007 IEEE 20th International Conference on Micro Electro Mechanical Systems (MEMS), Jan 21-25, Hyogo, Japan, 143 [22] Marchuk S M 2006 J. Opt. Technol.73 846 [23] Yoo H W, Druml N, Brunner D, Schwarzl C, Thurner T, Hennecke M and Schitter G 2018 Elektrotech. Informationstechnik135 408 [24] Sun Y F, Zhang Z J, Zhao L Y, Sun W M and Zhao Y 2018 Chin. Phys. B27 094213 [25] Tang L, Wang C R, Wu H B and Dong J H 2012 Chin. Phys. Lett.29 014213 [26] Sheil C J and Goncharov A V 2019 Opt. Commun.440 207 [27] Zhu C X, Hobbs M J, Grainger M P and Willmott J R 2018 Appl. Opt.57 10449 [28] Feng L 2019 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies:Optical Test, Measurement Technology, and Equipment, January 18, Chengdu, China, 108391G [29] Huang Q, Duan X Y, He Y W, Qiu Y S, Li H J and Li G M 2019 Opt. Laser Technol.112 229
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.