A Long-Range Lidar Optical Collimation System Based on a Shaped Laser Source
Source abstract
Abstract
Semiconductor near-infrared lasers have been widely used in lidar systems. However, various source types have different shapes and divergence angles, causing more difficulties for long-distance detection. In this paper, an optical collimation system is designed for a long-range lidar system with a shaped laser source (the wavelength is 905 nm, the emitted spot size is 50 µm long by 10 µm wide, and the divergence angles are 33°and 15°, respectively, which are unconventional). On the basis of the traditional method of aspheric lens setting, a pair of asymmetric aspherical lenses were designed using an extended polynomial. The simulation results show that the spot shapes are all close to circular from 100 mm to 30 m and the spot size always remains the same value. The corrected optical system is put into the designed lidar system for verification. It results show that the average divergence angles in the long and short axis directions are 0.06°and 0.07°, which satisfy the project requirements. This optical system designed provides a collimation scheme and expands the application of vehicle-mounted lidar in the field of long-range detection.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Optical Sensing Technologies · Photonic and Optical Devices · Optical Wireless Communication Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
The School of Electronic Information, Qingdao University, Qingdao 266100, China
References (28)
Show source-provided references
1. Molebny, V., McManamon, P., Steinvall, O., Kobayashi, T., and Chen, W. (2017). Laser radar: Historical prospective-from the East to the West. Opt. Eng., 56.10.1117/1.OE.56.3.031220 ↗
2. Application of A Frequency Chirped RF Intensity Modulated 532 nm Light Source in Underwater Ranging10.1109/JPHOT.2020.3040274 ↗
3. Lin, X., Wu, Z., Yang, S., Zhan, Z., Bi, S., Zhang, X., and Du, Y. (2017). A weak signal detection technique applied in deep space exploration. Infrared Laser Eng., 46.10.3788/IRLA201746.0913002 ↗
4. Application of modulated lidar on optical carrier for ocean exploration
5. A review of selected ground penetrating radar applications to mineral resource evaluations10.1016/j.jappgeo.2011.09.020 ↗
6. Automated extraction of ground surface along urban roads from mobile laser scanning point clouds10.1080/2150704X.2015.1117156 ↗
7. Automated Urban Analysis Based on LiDAR-Derived Building Models10.1109/TGRS.2012.2205931 ↗
8. Erener, A., Sarp, G., and Karaca, M.I. (2020). An approach to urban building height and floor estimation by using LiDAR data. Arab. J. Geosci., 13.10.1007/s12517-020-06006-1 ↗
9. Horváth, E., Pozna, C., and Unger, M. (2022). Real-Time LIDAR-Based Urban Road and Sidewalk Detection for Autonomous Vehicles. Sensors, 22.10.3390/s22010194 ↗
10. Ullo, S.L., Zarro, C., Wojtowicz, K., Meoli, G., and Focareta, M. (2020). LiDAR-Based System and Optical VHR Data for Building Detection and Mapping. Sensors, 20.10.3390/s20051285 ↗
11. Wang, X., Gao, J., and Zhao, Y. (2020). Pollution Monitoring Based on Vehicle-borne Particulate Quantum Lidar. Eur. Phys. J. Conf., 237.10.1051/epjconf/202023703023 ↗
12. Gao, J., Wang, X., Zhao, Y., and Zhao, J. (2020). Real-Time Pollution Analysis and Location Based on Vehicle Particle Radar. Eur. Phys. J. Conf., 237.10.1051/epjconf/202023703025 ↗
13. Bidirectional Vehicle-to-Vehicle Communication and Ranging Systems with Spread Spectrum Techniques Using Laser Radar and Visible Light10.1587/transfun.E100.A.1206 ↗
14. LiDAR-Enhanced Connected Infrastructures Sensing and Broadcasting High-Resolution Traffic Information Serving Smart Cities10.1109/ACCESS.2019.2923421 ↗
15. Lane Marking Detection Using Low-Channel Roadside LiDAR10.1109/JSEN.2023.3280189 ↗
16. Cao, X., Qiu, G., Wu, K., Li, C., and Chen, J. (2020). Lidar system based on lens assisted integrated beam steering. Opt. Lett., 45.10.1364/OL.401486 ↗
17. A rotating two-dimensional laser radar measurement system and the calibration method
18. Chen, Z., Zhang, J., and Tao, D. (2019). Progressive LiDAR Adaptation for Road Detection. IEEE/CAA J. Autom. Sin., 6.10.1109/JAS.2019.1911459 ↗
19. Yang, L., and Duan, J. (2011, January 26–27). Technology of Vehicle Identification Based on Laser Radar. Proceedings of the 2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics, Hangzhou, China.10.1109/IHMSC.2011.45 ↗
20. Garcia, F., Cerri, P., Broggi, A., Armingol, J.M., and de la Escalera, A. (2009). Vehicle Detection Based on Laser Radar. Computer Aided Systems Theory—EUROCAST 2009: 12th International Conference, Las Palmas de Gran Canaria, Spain, 15–20 February 2009, Springer.
21. Peng, Z., Liu, B., and Yue, Y. (2015). Optical system design of monostatic nonscanning Doppler wind lidar. High Power Laser Part. Beams, 27.
22. Nosov, P.A. (2014, January 23–27). Optical system synthesis for lidar transmitting channel. Proceedings of the International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics, Novosibirsk, Russia.10.1117/12.2075337 ↗
23. Pu, D. (2006). Lidar Beam Shaping with Binary Optical Elements. Laser Optoelectron. Prog., 43.
24. Correction of linear-array lidar intensity data using an optimal beam shaping approach10.1016/j.optlaseng.2016.03.007 ↗
25. Design and analysis of an elliptical Gaussian laser beam shaping system
26. Zhang, L., Lu, Q., Duan, F., Dai, X., and Qiao, D. (2024). Optical System Design and Athermalization of Telephoto Lens. Acta Opt. Sin., 44.
27. Zhu, Y., Li, S., Zhuo, S., and Yang, L. (2022). Designing Optical Systems for Close-Distance Vehicle Lenses in Target Recognition. Laser Optoelectron. Prog., 59.
28. Optimal design of optical system for vehicle navigation LiDAR