Infrared and Laser Engineering, Volume. 51, Issue 3, 20210471(2022)
Research advances on non-line-of-sight three-dimensional imaging lidar
Fig. 1. Basic configuration of the non-line-of-sight imaging lidar
Fig. 3. Experimental results of non-line-of-sight imaging with different mirror surfaces[12]. (a)-(d) Position map of the detector, light source, target and the intermediate reflective surface and target respectively; (e)-(h) Experimental results of mirrors with different materials
Fig. 4. Experimental results of non-line-of-sight imaging with glass under different background lights[15]. (a) Schematic diagram of the experimental scene; (b1)-(b5) Experimental results under different conditions
Fig. 6. Experimental results of non-line-of-sight imaging using ICCD[17]. (a)-(c) Results of point lighting experiment; (d)-(f) Results of surface lighting, from left to right are top view, side view, 3D panorama
Fig. 7. Experimental results of non-line-of-sight imaging using PMD[18]. (a) Scene; (b) System; (c) Lighting source; (d) Target; (e) Intensity image; (f) Depth image
Fig. 8. Experimental results of non-line-of-sight imaging using single pixel of SPAD [21]. (a) Experimental setup; (b) Reconstructed image
Fig. 9. Results of non-line-of-sight target detection using SPAD array [22] . (a) Experimental setup; (b) Diagram of target location
Fig. 10. Experimental results of non-line-of-sight target location and velocity measurement using SPAD array[23]. (a) Schematic diagram of target location experiment; (b) Schematic diagram of velocity measurement experiment
Fig. 11. Experimental results of pre-occlusion non-line-of-sight imaging [27]. (a) Experimental configuration; (b) Raw data in the absence of an occluder; (c) Raw data in the presence of the occluder; (d) Reconstructed image in the absence of an occluder; (e) Reconstructed image in the presence of the occluder
Fig. 12. Confocal non-line-of-sight imaging system based on Light Cone Transform (LCT)[28]. (a) Schematic diagram of principle; (b) Experimental setup; (c) Reconstructed image
Fig. 13. Confocal non-line-of-sight imaging experimental results based on frequency-wavenumber migration(f-k Mig)[29]. (a) Experiment scene; (b) Line-of-sight view; (c) Measured data; (d) Reconstructed image
Fig. 14. Experimental results of non-confocal non-line-of-sight imaging experiment result based on phasor-field virtual wave[30]. (a) Imaging system; (b) Target; (c) Reconstructed image
Fig. 15. Experiment results of scanning non-line-of-sight imaging with SPAD linear array[32]. (a) Imaging system, scene; (b) Restored 3D images by different pixels, respectively
Fig. 16. Experiment results of dual scanning non-line-of-sight imaging system[33]. (a)-(g) Experiment scene and system; (h), (i) Imaging results
Fig. 17. Processing results of the fast back projection algorithm[36]. (a) Normal back projection algorithm; (b) Fast back projection algorithm; (c) Target; (d) System
Fig. 18. Processing results of the optimization algorithm considering the direction of the target surface and the occlusion between the targets[41]. (a) Measured data; (b) Linear optimization reconstruction; (c) Improved optimization reconstruction
Fig. 19. Processing results of the LCT algorithm and other algorithms[28]. Processing results of back projection(a), filtered back projection(b), LCT(c), and LCT+ optimization(d)
Fig. 20. Processing results comparison of frequency wave vector migration(f-k Mig) and other algorithms[29]. Processing results of target(a), measurement data(b), filtered back projection(c), LCT(d), f-k
Fig. 21. Processing results of the phasor-field virtual wave algorithm[30]. Processing results of confocal LCT (a), filtered back projection (b), virtual wave (c)
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Chenfei Jin, Xiaorui Tian, Meng Tang, Feng Wang, Jie Yang, Kai Qiao, Xiaojie Shi, Siqi Zhang. Research advances on non-line-of-sight three-dimensional imaging lidar[J]. Infrared and Laser Engineering, 2022, 51(3): 20210471
Category: Lasers & Laser optics
Received: Jul. 12, 2021
Accepted: --
Published Online: Apr. 8, 2022
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