Kilometer-range depth imaging at 1550 nm wavelength using an InGaAs/InP single-photon avalanche diode detector

McCarthy, Aongus; Ren, Ximing; Frera, Adriano Della; Gemmell, Nathan R.; Krichel, Nils J.; Scarcella, Carmelo; Ruggeri, Alessandro; Tosi, Alberto; Buller, Gerald S.

doi:10.1364/oe.21.022098

Cited by 199 publications

(106 citation statements)

References 39 publications

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“…The image was acquired in May 2016 in Virginia, USA, using a time-of-flight scanning sensor, based on the TCSPC technique. The transceiver system and data acquisition hardware used for this work are broadly similar to that described in [20,21], which uses a 1550nm wavelength and an electrically gated InGaAs/InP single photon avalanche diode (SPAD) detector (see also [14] for more details regarding the system parameters). The image was acquired using a per pixel acquisition time equal to 3.2ms, corresponding to a total acquisition time of ≈ 10s for the considered number of pixels.…”

Section: Results On Real Datamentioning

confidence: 99%

Restoration of multilayered single-photon 3D Lidar images

Halimi

Tobin

McCarthy

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

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This paper presents a new algorithm for the restoration of multilayered three-dimensional laser detection and ranging (3D Lidar) images. For multilayered targets such as semitransparent surfaces or when the transmitted light of the laser beam is incident on multiple surfaces at different depths, the returned signal may contain multiple peaks. Considering the Poisson statistics of these observations leads to a convex data fidelity term that is regularized using appropriate functions accounting for the spatial correlation between pixels and the sparse depth repartition of targets. More precisely, the spatial correlation is introduced using a convex total variation (TV) regularizer, and a collaborative sparse prior is used to introduce the depth prior knowledge. The resulting minimization problem is solved using the alternating direction method of multipliers (ADMM) that offers good convergence properties. The algorithm was validated using field data representing a man standing 1 meter behind camouflage, at an approximate stand-off distance of 230m from the system. The results show the benefit of the proposed strategy in that it improves the quality of the imaged objects at different depths and under reduced acquisition times.

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Section: Results On Real Datamentioning

confidence: 99%

Restoration of multilayered single-photon 3D Lidar images

Halimi

Tobin

McCarthy

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

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“…In recent years, single-photon timing has emerged as a candidate technology for high-resolution three-dimensional profiling [1], and the performance of the approach has been demonstrated in a number of field trials [2]- [4]. Timecorrelated single-photon counting (TCSPC) is a statistical sampling technique which records the arrival time of detected photons with respect to the emitted laser pulse or absolute time.…”

Section: Introductionmentioning

confidence: 99%

Bayesian restoration of reflectivity and range profiles from subsampled single-photon multispectral Lidar data

Altmann

Tobin

Maccarone

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-In this paper, we investigate the recovery of range and spectral profiles associated with remote three-dimensional scenes sensed via single-photon multispectral Lidar (MSL). We consider different spatial/spectral sampling strategies and compare their performance for similar overall numbers of detected photons. For a regular spatial grid, the first strategy consists of sampling all the spatial locations of the grid for each of the wavelengths. Conversely, the three other strategies consist, for each spatial location, of acquiring a reduced number of wavelengths, chosen randomly or in a deterministic manner. We propose a fully automated computational method, adapted for the different sampling strategies in order to recover the target range profile, as well as the reflectivity profiles associated with the different wavelengths. The performance of the four sampling strategies is illustrated using a single photon MSL system with four wavelengths. The results presented demonstrate that although the first strategy usually provides more accurate results, the subsampling strategies do not exhibit a significant performance degradation, particularly for extremely photonstarved data (down to one photon per pixel on average).

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“…Although 3D imaging systems have been studied, they are usually realized either as single pixel detectors [1][2][3][4] or as bench-top systems with simple detector arrays [5][6][7]. Silicon nanophotonic processes use similar steps as their electronic counterparts, leading to higher yields, and compatibility with electronic integrated circuits.…”

Section: Introductionmentioning

confidence: 99%

Nanophotonic coherent imager

Aflatouni¹,

Abiri²,

Rekhi³

et al. 2015

Opt. Express

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Abstract:An integrated silicon nanophotonic coherent imager (NCI), with a 4 × 4 array of coherent pixels is reported. In the proposed NCI, on-chip optical processing determines the intensity and depth of each point on the imaged object based on the instantaneous phase and amplitude of the optical wave incident on each pixel. The NCI operates based on a modified time-domain frequency modulated continuous wave (FMCW) ranging scheme, where concurrent time-domain measurements of both period and the zero-crossing time of each electrical output of the nanophotonic chip allows the NCI to overcome the traditional resolution limits of frequency domain detection. The detection of both intensity and relative delay enables applications such as high-resolution 3D reflective and transmissive imaging as well as index contrast imaging. We demonstrate 3D imaging with 15µm depth resolution and 50µm lateral resolution (limited by the pixel spacing) at up to 0.5-meter range. The reported NCI is also capable of detecting a 1% equivalent refractive index contrast at 1mm thickness. 195-199 (2013

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Kilometer-range depth imaging at 1550 nm wavelength using an InGaAs/InP single-photon avalanche diode detector

Cited by 199 publications

References 39 publications

Restoration of multilayered single-photon 3D Lidar images

Restoration of multilayered single-photon 3D Lidar images

Bayesian restoration of reflectivity and range profiles from subsampled single-photon multispectral Lidar data

Nanophotonic coherent imager

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