| Citation: | ZHANG Li-zhi, LU Qiu-ping, DUAN Fan-lin, DAI Xing, QIAO Da-yong. Research on stray light of vehicle LiDAR lens based on key parameter priors[J]. Chinese Optics. doi: 10.37188/CO.2025-0074
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Stray light interference in vehicular LiDAR systems can reduce the signal-to-noise ratio and degrade detection efficiency. To mitigate this issue, this paper proposed a surface scattering modeling method based on the spectral power density function and total integrated scattering, which fits the bidirectional reflectance distribution function (BRDF) for various material surfaces. The model calculation results were highly consistent with the measured BRDF data, verifying the effectiveness of the method. Based on this model, the study systematically analyzed the sources and propagation paths of stray light in the long-focal-length receiving optics of vehicular LiDAR, with specific attention to scattering from the housing's inner walls, lens edges, and spacer ring surfaces. According to the simulation results, this paper put forward a number of stray light suppression measures, such as using structural components made of low-scattering materials, coating anti-reflection films on lens surfaces, and applying light-absorbing ink to the non-optical areas of lenses, etc. Furthermore, from optical design, signal processing and engineering optimization, the stray light suppression level of this LiDAR receiving optical system was evaluated in multiple dimensions. The results of the experiment showed that the level of stray radiation in the optimized system was significantly reduced: the point source transmittance (PST) outside the imaging field of view was reduced from 1e+0 to 1e-5, the PST in the field of view was reduced from 1e+2 to 1e-1, and the stray light contrast with the target signal was controlled below 10e-4. Additionally, the intensity of the detected echo signal is significantly improved, thereby effectively enhancing the detection performance of the LiDAR. This study provides a theoretical model and practical solutions for stray light suppression in vehicle-mounted LiDAR, offering valuable references for the design and optimization of high-sensitivity optical systems.
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