Long-Range Imaging LiDAR with Multiple Denoising Technologies
Source abstract
Abstract
The ability to capture and record high-resolution images over long distances is essential for a wide range of applications, including connected and autonomous vehicles, defense and security operations, as well as agriculture and mining industries. Here, we demonstrate a self-assembled bistatic long-range imaging LiDAR system. Importantly, to achieve high signal-to-noise ratio (SNR) data, we employed a comprehensive suite of denoising methods including temporal, spatial, spectral, and polarization filtering. With the aid of these denoising technologies, our system has been validated to possess the capability of imaging under various complex usage conditions. In terms of distance performance, the test results achieved ranges of over 4000 m during daylight with clear weather, 19,200 m at night, 6700 m during daylight with haze, and 2000 m during daylight with rain. Additionally, it offers an angular resolution of 0.01 mrad. These findings demonstrate the potential to offer comprehensive construction strategies and operational methodologies to individuals seeking long-range LiDAR data.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Optical Sensing Technologies · Optical measurement and interference techniques · Remote Sensing and LiDAR Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Electronic Materials Research Laboratory, Key Laboratory of the Ministry of Education and International Center for Dielectric Research, School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China
MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, Department of Applied Physics, Xi’an Jiaotong University, Xi’an 710049, China
Funding
National Natural Science Foundation of China · Shaanxi Key Research and Development Project
References (29)
Show source-provided references
1. Active, optical range imaging sensors10.1007/BF01212277 ↗
2. Airborne ultraviolet imaging system for oil slick surveillance: Oil–seawater contrast, imaging concept, signal-to-noise ratio, optical design, and optomechanical model10.1364/AO.54.007648 ↗
3. View planning in robot active vision: A survey of systems, algorithms, and applications10.1007/s41095-020-0179-3 ↗
4. Augmented reality and virtual reality displays: Emerging technologies and future perspectives10.1038/s41377-021-00658-8 ↗
5. Point-to-point stabilized optical frequency transfer with active optics10.1038/s41467-020-20591-5 ↗
6. Landing a VTOL unmanned aerial vehicle on a moving platform using optical flow
7. Review of stereo vision algorithms and their suitability for resource-limited systems10.1007/s11554-012-0313-2 ↗
8. Structured light: Ideas and concepts10.3389/fphy.2020.00114 ↗
9. Raj, T., Hanim Hashim, F., Baseri Huddin, A., Ibrahim, M.F., and Hussain, A. (2020). A survey on LiDAR scanning mechanisms. Electronics, 9.10.3390/electronics9050741 ↗
10. Royo, S., and Ballesta-Garcia, M. (2019). An Overview of Lidar Imaging Systems for Autonomous Vehicles. Appl. Sci., 9.10.3390/app9194093 ↗
11. Gradient estimation for real-time adaptive temporal filtering10.1145/3233301 ↗
12. Brief review of image denoising techniques10.1186/s42492-019-0016-7 ↗
13. Graph signal denoising via trilateral filter on graph spectral domain10.1109/TSIPN.2016.2532464 ↗
14. A block-matching and 3-D filtering algorithm for Gaussian noise in DoFP polarization images10.1109/JSEN.2018.2861087 ↗
15. Assessment of Lateral Structural Details of Targets using Principles of Full-Waveform Light Detection and Ranging
16. Laser echo waveform modulation modelling from lateral structure using a mathematical formula10.1080/01431161.2023.2202340 ↗
17. Wang, D., Watkins, C., and Xie, H. (2020). MEMS mirrors for LiDAR: A review. Micromachines, 11.10.3390/mi11050456 ↗
18. Coherent solid-state LIDAR with silicon photonic optical phased arrays10.1364/OL.42.004091 ↗
19. Compact solid-state optical phased array beam scanners based on polymeric photonic integrated circuits10.1038/s41598-021-90120-x ↗
20. Laser ranging at 1550 nm with 1-GHz sine-wave gated InGaAs/InP APD single-photon detector10.1364/OE.19.013497 ↗
21. Subcentimeter depth resolution using a single-photon counting time-of-flight laser ranging system at 1550 nm wavelength10.1364/OL.32.002266 ↗
22. Continuously scanning time-correlated single-photon-counting single-pixel 3-D lidar10.1117/1.OE.56.3.031204 ↗
23. Entwistle, M., Itzler, M.A., Chen, J., Owens, M., Patel, K., Jiang, X., Slomkowski, K., and Rangwala, S. (2012, January 23–27). Geiger-mode APD camera system for single-photon 3D LADAR imaging. Proceedings of the Advanced Photon Counting Techniques VI. SPIE, Baltimore, MD, USA.10.1117/12.921004 ↗
24. Gordon, K., Hiskett, P., and Lamb, R. (2014, January 5–9). Advanced 3D imaging lidar concepts for long range sensing. Proceedings of the Advanced Photon Counting Techniques VIII. SPIE, Baltimore, MD, USA.10.1117/12.2051013 ↗
25. Single-photon imaging over 200 km10.1364/OPTICA.408657 ↗
26. Single-photon computational 3D imaging at 45 km10.1364/PRJ.390091 ↗
27. Compressed sensing10.1109/TIT.2006.871582 ↗
28. Long-range depth imaging using a single-photon detector array and non-local data fusion10.1038/s41598-019-44316-x ↗
29. A systematic review of compressive sensing: Concepts, implementations and applications10.1109/ACCESS.2018.2793851 ↗