Long-Range Imaging LiDAR with Multiple Denoising Technologies

Autor: Huaibin Zheng, Yuyuan Han, Long Qiu, Yanfeng Zong, Jingwei Li, Yu Zhou, Yuchen He, Jianbin Liu, Gao Wang, Hui Chen, Zhuo Xu
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Applied Sciences, Vol 14, Iss 8, p 3414 (2024)
Druh dokumentu: article
ISSN: 2076-3417
DOI: 10.3390/app14083414
Popis: 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.
Databáze: Directory of Open Access Journals