VCSEL-based sensors for distance and velocity

Moench, Holger; Carpaij, Mark; Gerlach, Philipp; Gronenborn, Stephan; Gudde, Ralph; Hellmig, J.; Kolb, Johanna; Lee, Alexander van der

doi:10.1117/12.2209320

Cited by 37 publications

(25 citation statements)

References 5 publications

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“…In a previous study, 5 number N MHP of pulses that occur between λ 1 and λ 2 , the former and the latter being emission frequencies with maximum and minimum LD driving current, was expressed as follows.

N_{M H P} = \frac{2 L}{λ_{2}} - \frac{2 L}{λ_{1}} = 2 L (\frac{1}{λ_{2}} - \frac{1}{λ_{1}})

The following is obtained with regard to the change of optical path length in a lens.…”

Section: Resultsmentioning

confidence: 99%

“…When part of light reflected from a target returns to LD active layer, LD optical output and terminal voltage change. 1 This so-called self-coupling effect 2 has been explored in many fields, including speed measurement, [3][4][5] micro displacement measurement, [6][7][8] and acoustics. [9][10][11] Self-coupling effect produces return light noise; distance signals contained in this return light noise are called selfcoupled signals, and their frequency is called self-coupling frequency.…”

Section: Introductionmentioning

confidence: 99%

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Accuracy improvement of terminal voltage self‐coupled laser distance sensor

Ohba

Mizushima

Goshima

et al. 2020

Elect Comm in Japan

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Measurements performed using the self‐coupling effect of a semiconductor laser utilize an external resonator by exploiting the reflected light from the surface of an object. The improvement of the measurement accuracy due to the use of self‐coupled signals acquired from terminal voltages has not been thoroughly investigated. The current that flows through a semiconductor laser is adjusted so that its wavelength changes at a specific rate when it is modulated using an arbitrary waveform. As such, the spread of the self‐coupled signal is suppressed, and precision is improved. In addition, the accuracy is improved by considering the influence of lenses on the optical path.

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N_{M H P} = \frac{2 L}{λ_{2}} - \frac{2 L}{λ_{1}} = 2 L (\frac{1}{λ_{2}} - \frac{1}{λ_{1}})

The following is obtained with regard to the change of optical path length in a lens.…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Accuracy improvement of terminal voltage self‐coupled laser distance sensor

Ohba

Mizushima

Goshima

et al. 2020

Elect Comm in Japan

View full text Add to dashboard Cite

show abstract

“…Moench et al, 62 Michalzik, 63 and Gouaux et al 64 also applied the VCSEL laser feedback interferometer based on the modulation of the working current. Guo et al 65 proposed a method based on a double-modulation technique on a laser diode for absolute distance measurement.…”

Section: Distance Measurementmentioning

confidence: 99%

Laser feedback interferometry and applications: a review

Niu

2017

Opt. Eng

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The progress on laser feedback interferometry technology is reviewed. Laser feedback interferometry is a demonstration of interferometry technology applying a laser reflected from an external surface, which has features including simple structure, easy alignment, and high sensitivity. Theoretical analysis including the Lang-Kobayashi model and three-mirror model are conducted to explain the modulation of the laser output properties under the feedback effect. In particular, the effect of frequency and polarization shift feedback effects are analyzed and discussed. Various applications on various types of lasers are introduced. The application fields range from metrology, to physical quantities, to laser parameters and other applications. The typical applications of laser feedback technology in industrial and research fields are discussed. Laser feedback interferometry has great potential to be further exploited and applied.

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“…In this paper we address these issues: our 3D capture technology is based on depth-from-stereo with active structured light infrared illumination that leverages Vertical Cavity Surface Emitting Laser (VCSEL) technology [Moench et al 2016]. This allows for a strong SNR even in low exposure settings, i.e.…”

Section: Introductionmentioning

confidence: 99%

The need 4 speed in real-time dense visual tracking

et al. 2018

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The advent of consumer depth cameras has incited the development of a new cohort of algorithms tackling challenging computer vision problems. The primary reason is that depth provides direct geometric information that is largely invariant to texture and illumination. As such, substantial progress has been made in human and object pose estimation, 3D reconstruction and simultaneous localization and mapping. Most of these algorithms naturally benefit from the ability to accurately track the pose of an object or scene of interest from one frame to the next. However, commercially available depth sensors (typically running at 30fps) can allow for large inter-frame motions to occur that make such tracking problematic. A high frame rate depth camera would thus greatly ameliorate these issues, and further increase the tractability of these computer vision problems. Nonetheless, the depth accuracy of recent systems for high-speed depth estimation [Fanello et al. 2017b] can degrade at high frame rates. This is because the active illumination employed produces a low SNR and thus a high exposure time is required to obtain a dense accurate depth image. Furthermore in the presence of rapid motion, longer exposure times produce artifacts due to motion blur, and necessitates a lower frame rate that introduces large inter-frame motion that often yield tracking failures. In contrast, this paper proposes a novel combination of hardware and software components that avoids the need to compromise between a dense accurate depth map and a high frame rate. We document the creation of a full 3D capture system for high speed and quality depth estimation, and demonstrate its advantages in a variety of tracking and reconstruction tasks. We extend the state of the art active stereo algorithm presented in Fanello et al. [2017b] by adding a space-time feature in the matching phase. We also propose a machine learning based depth refinement step that is an order of magnitude faster than traditional postprocessing methods. We quantitatively and qualitatively demonstrate the benefits of the proposed algorithms in the acquisition of geometry in motion. Our pipeline executes in 1.1ms leveraging modern GPUs and off-the-shelf cameras and illumination components. We show how the sensor can be employed in many different applications, from [non-]rigid reconstructions to hand/face tracking. Further, we show many advantages over existing state of the art depth camera technologies beyond framerate, including latency, motion artifacts, multi-path errors, and multi-sensor interference.

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VCSEL-based sensors for distance and velocity

Cited by 37 publications

References 5 publications

Accuracy improvement of terminal voltage self‐coupled laser distance sensor

Accuracy improvement of terminal voltage self‐coupled laser distance sensor

Laser feedback interferometry and applications: a review

The need 4 speed in real-time dense visual tracking

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