Abstract
The time-of-flight (ToF) principle is a method used to measure distance and construct three-dimensional (3D) images by detecting the time or the phase difference between emitted and back-reflected optical flux. The ToF principle has been employed for various applications including light ranging and detection (LiDAR), machine vision and biomedical engineering; however, bulky system size and slow switching speed have hindered the widespread application of ToF technology. To alleviate these issues, a demonstration of hetero-integration of GaN-based high electron mobility transistors (HEMTs) and GaAs-based vertical cavity surface emitting lasers (VCSELs) on a single platform via a cold-welding method was performed. The hetero-integrated ToF sensors show superior switching performance when compared to silicon-transistor-based systems, miniaturizing size and exhibiting stable ranging and high-resolution depth-imaging. This hetero-integrated system of dissimilar material-based high-performance devices suggests a new pathway towards enabling high-resolution 3D imaging and inspires broader range application of heterogeneously integrated electronics and optoelectronics.
Similar content being viewed by others
Introduction
Nature includes abundant examples based on the time-of-flight (ToF) principle1,2,3,4,5. Echolocation in mammals and birds calculates the time or phase difference between transmitting and receiving particles or waves in order to detect objects remotely6. The ToF principle is generally engineered via optical flux in the sensor to achieve high accuracy and frame-rate7. Therefore, ToF-based sensors have been widely employed for ranging and mapping technology, leveraging many advanced three-dimensional (3D) applications in machine vision and the biomedical industry etc8,9,10,11,12,13,14,15. However, current ToF building blocks, such as emitters, receivers and drivers, are still necessary to simplify their structural complexity, cost-ineffectiveness and large form-factors, and to enhance their insufficient optical power, speed and sensitivity15,16. To alleviate these issues, hetero-integration of GaN-based high electron mobility transistors (HEMTs) and GaAs-based vertical cavity surface emitting lasers (VCSELs) on a single platform via a cold-welding process that provides the potential for high resolution 3D real-world imaging is demonstrated.
GaN-based HEMTs have been promising candidates for high power and high frequency applications due to the advantageous intrinsic material properties of GaN for device applications, including low parasitic capacitance, large breakdown endurance and low on-resistance17,18,19,20. AlGaN/GaN heterostructures in GaN HEMTs allow the formation of two-dimensional electron gas (2DEG) on the channel with a high density of the electron gas (>1 × 1013 cm−2) by piezoelectric polarization effects, resulting in high speed operation and low node-to-node junction capacitance18,21. Recently, GaN-based HEMTs have been employed to drive high-peak and narrow-pulse optoelectrical device applications, including ToF ranging, 3D imaging and light detection and ranging (LiDAR)16,18. These applications require sub-nanosecond acquisitions; therefore, the switching performance of devices is critical. Switching performance is affected by gate resistance, capacitance, mobility and inductance of driving transistors. GaN HEMTs show outstanding performance, with faster switching performance than that of silicon-based metal-oxide semiconductor field effect transistors (MOSFETs).
In addition, high-power emitters are the essential device component for efficient pulse-based optical communication. VCSELs are one of the most reliable and high-performing emitters. This is due to their surface-normal structure, large current densities, directive emission, narrow bandwidth, low divergence angle and low power consumption22,23. Although VCSEL chips are available with microscale dimensions, additional fabrication or packaging processes are required to be combined with other electronic/optoelectronic components. Monolithic fabrication of modules is advantageous for preventing device degradation related to material incompatibility and processes reliability24. Despite this, straightforward and inexpensive processes are still challenging.
Heterogeneous integration provides the potential for system-level applications without the issues of incompatibilities stemming from intrinsic material properties, complex spatial layout and geometric limitation25,26,27,28,29. Here, we fabricated a hetero-integrated ToF sensor was fabricated by combining depletion-mode AlGaN/GaN HEMTs and VCSELs via the cold-welding process. The simple cold-welding process enables quick and low-temperature bonding for microscopic structures30. The hetero-integrated ToF sensor exhibits the superior switching performance for advanced 3D optical imaging systems. The novel ToF device is expected to shed light on exhibiting high-resolution 3D imaging as well as enhance the structural degree of freedom.
Results
Characterization of GaN HEMTs and GaAs VCSELs
Prior to hetero-integration, the electrical and optical characteristics of GaN-based HEMTs and GaAs-based VCSELs was investigated. Figure 1a shows a schematic illustration of the hetero-integrated device. The VCSEL chip is integrated on the drain side of the GaN HEMT to prevent fluctuations related to turn-on stages from affecting the source voltage of the GaN HEMT, as shown in Fig. 1b. Figure 1c shows a photograph of the hetero-integrated device. The cross-sectional structure of the device is shown in Fig. 1d. The 2DEG layer in the GaN-based HEMT where carriers are accumulated enhances the electrical conductivity of the device, thus enabling high current density. Figure 1e,f show an epitaxial cross-section of the GaN-based HEMT and VCSEL. Each component is grown on a different substrate (sapphire and n-GaAs substrate). After the independent fabrication process of each component, the VCSEL chip and GaN-based HEMT are hetero-integrated through cold-welding. (For more detailed fabrication process and hetero-integration, see Methods).
Figure 2a shows the current-voltage (I-V) characteristics of the AlGaN/GaN HEMT. The current at the saturation regions slightly decreases at the high gate voltage (1.0 V~3.0 V) and the high drain voltage (>10 V), due to the self-heating effects31. The threshold voltage is −7 V, as shown in Fig. 2b. Based on these I-V characteristics of GaN-based HEMT, the stable operating regions, where gate voltage ranges from −10 V to 2.0 V and drain voltage is below 10 V, are then adopted as pulse levels for ToF function. The fabricated VCSEL shows 20 degrees of beam divergence without a focusing lens, and a monochromatic spectrum wavelength of 945 nm, as shown in Fig. 2c. The narrow wavelength spectra emission contributes to higher signal-to-noise ratio (SNR). Furthermore, the scalability and surface normal emission of the VCSELs are ideal for structural flexibility of ToF systems. The light-current-voltage (L-I-V) characteristics of the VCSELs are shown in Fig. 2d. The threshold currents are nearly constant at various temperatures. Thermal effects slightly diminish optical power as the operating temperature increases. The fabricated phase-based ToF module can operate reliably up to 85 °C, which is similar to the operating temperature of commercialized ToF modules32. The current level is determined by device endurance and power conversion efficiency; thus, less than 8 mA current is applied to the hetero-integrated device. Figure 2e confirms advantageous fast switching of the fabricated GaN HEMTs. The rise time of the HEMTs is 50 ns, which is over twice as fast as that of the commercialized Si-MOSFETs (Microchip Technology, LND 150). Furthermore, the fall time of HEMTs is remarkably faster than that of MOSFETs as well. The superior rise and fall times of the fabricated GaN-based HEMT are comparable to those of commercial GaN-based HEMTs33. The difference in turn-on delay times of both HEMTs and Si-MOSFETs originates from the difference in threshold voltages; GaN HEMTs with −7 V and Si-MOSFETs with −1.5 V. The short rise and fall times support the performance of GaN HEMTs as fast switching devices to drive the current for a ToF sensor.
Hetero-integration of GaN HEMTs and GaAs VCSELs
Hetero-integration plays a key role in systemizing nanosecond-switching and miniaturizing integrated devices30,34. Compared to conventional wire bonding, direct interfaces via hetero-integration minimize redundant physical connections to relax parasitic inductance and capacitance. This results in an accurate ToF calculation from the speed of light and enhanced power efficiency. A cold-welding method was used to heterogeneously integrate the GaN HEMTs and GaAs VCSELs. This simplified the fabrication process and minimized the damage and degradation of device performance due to high temperatures (see Methods)35,36. Electro-optical responses of the hetero-integrated devices for ToF are analyzed in Fig. 3. Since the emission wavelength of the VCSELs is in the near-infrared range (peak at 945 nm), image sensors recognized the emission in a conventional microscope, as shown in Fig. 3a. Figure 3b shows the I-V characteristics of the hetero-integrated devices. Above the threshold voltage (1.5 V), the current followed the I-V behavior of the HEMTs. Detailed measurement is described in Methods. The voltage pulse was then applied in order to characterize optical response, as shown in Fig. 3c. The emitted optical beam from VCSEL was reflected from a scattering object, and the photocurrent of the photodiode was generated by the reflected near-infrared beam. The photodiode was activated in accordance with the timing of the turn-on gate pulse. The VCSEL was activated at a fast pulse repetition rate, up to 500 kHz. Further improvement can be possibly achieved if the peripheral circuits and measurement setup are optimized (See Supplementary Fig. 3).
Hetero-integrated time-of-flight devices
The ToF experimental setup that allowed measurement of a real-time depth curve is illustrated in Fig. 4a. Detailed information of the setup is demonstrated in Methods and Supplementary Fig. S1. Prior to the experiment, ToF function was geometrically simulated using COMSOL multiphysics software, as shown in Fig. 4b (For more information, see Methods). The object located normal to the emitter (Object 2) allowed confined optical responses compared to the object located at an off angle from the sensor. Therefore, for the calibration of ToF ranging, the object moved along normal to the surface of the emitter to output multiple distances between the object and the hetero-integrated ToF. The characterization of ToF measurement is shown in Fig. 4c. The device exhibited consistent trends with the transition of the distance between the object and the VCSEL. The distribution of the 300 measurements was interpreted as a linear regression model with a reliable R-square value (0.97). The device also showed stable ranging for a long-term single-target (See Supplementary Fig. S2). Furthermore, the hetero-integrated device enabled ToF-based 3D imaging, as shown in Fig. 4d. ‘UVA’ letters were used for this 3D depth imaging. The edges of each letter are recognizable, which supports the possibility of using a demonstrated ToF sensor for object and material recognition applications37,38,39,40. The fast switching performance of the hetero-integrated devices also elicits great potential for a spacious mapping application, such as LiDAR, where high-resolution can be realized by fast pulse repetition rate. The simulated results using the characterization of the fabricated ToF sensor show high-resolution 3D imaging, as compared to the conventional Si-MOSFET-based LiDAR system, displayed in Fig. 3e,f (see Method)41. Compared to the conventional LiDAR system, the superior fast-switching and high-power performance of the hetero-integrated device exhibited higher pulse repetition rate and SNR. Therefore, more compact 3D point data is implemented via the hetero-integrated device. These results support the prospect of using compact hetero-integrated devices to realize real-time 3D mapping as well.
Discussion
Direct ToF ranging is calculated as \(d=\frac{1}{2}c\cdot {\tau }_{ToF}\), where d is the distance between a sensor and object, c is the speed of light, and \({\tau }_{ToF}\) is the time difference between transmitter and receiver signals. The \({\tau }_{ToF}\) can be derived from time-to-digital converters (TDCs), but can also be calculated by the phase difference between the transmitter and receiver signals as \(\varphi =2{\rm{\pi }}f{\tau }_{ToF}\) and \(d=\frac{c}{4{\rm{\pi }}f}\varphi \), where \(f\) is modulation frequency, and \(\varphi \) is a phase difference between illumination and reflection. The phase difference is calculated from the intensity of received signal at four different points such that \(\varphi =arctan(\frac{{A}_{1}-{A}_{3}}{{A}_{2}-{A}_{4}})\), where A1, A2, A3 and A4 are the measurements at four different phases (0 deg, 90 deg, 180 deg and 270 deg each). The phase-shift-based ToF model was employed in this study due to its high accuracy in the range of millimeters with high surface reflectivity. The noise at the edge of the square waves was mitigated by damping the parasitic circuits to relax the resonance behavior. The mismatch between the linear fit and the ideal line was possibly caused by an inertial fluctuation of the setup and a lack of further precise calibration without consideration of humidity and ambient light conditions. These factors are mostly related to the SNR and elicit measurement deviation as \({{\rm{\sigma }}}_{distance}=\frac{d}{SNR}\). Normally, one millimeter accuracy corresponds to 6.6 picoseconds pulses, which is challenging for a conventional silicon-based photodiode7. In this experiment, the range was 50 mm to 210 mm in order to maintain the minimum distance between the microprobes and object, and the maximum distance was limited by the optical power of the emitter and detectivity of the photodetector. Therefore, further ranging is possible by maximizing the SNR using a high optical power emitter with a high sensitivity receiver. Sub-watt optical power of the VCSELs can be easily achieved by employing multiple VCSEL-based emitters42,43,44. Moreover, the VCSEL beamwidth is small and directional. Thus, combination with additional beam controllers, such as rotary motors16, micromirrors45,46, optical phased array (OPA)47,48,49, and liquid crystal (LC) based beam steerers50, is expected to pave the way for future angle-dependent ranging and high-resolution 3D imaging.
In summary, HEMTs were fabricated and heterogeneously integrated with VCSELs for ToF ranging via cold-welding. The superior rise and fall time of the GaN HEMTs over conventional Si-MOSFETs enables fast-switching devices. The as-fabricated HEMTs and VCSELs operate in comparable voltage (gate voltage below 2 V and drain voltage below 10 V) and current levels (8 mA) for a ToF function. The fabricated VCSELs display narrow wavelength spectra and beam emission, thus making VCSELs ideal for ToF systems. The simple hetero-integration allows further fast-switching performance of the devices by minimizing device degradation and parasitic connection. This high-speed switching performance is then utilized to exhibit accurate ToF-based distance ranging and imaging and potential to facilitate high-resolution 3D imaging. We believe that the hetero-integrated device is expected to open the way for alternatives to current formalized ToF sensors, boosting the emergence of newly outlined 3D sensors via their high degree of scalability and compatibility.
Methods
Device fabrication
The cross-section structure of each AlGaN/GaN HEMTs and GaAs VCSELs are illustrated in Fig. 1e,f. The heterostructure of the AlGaN/GaN HEMT was grown on a sapphire substrate by metal organic chemical vapor deposition (MOCVD). The low-temperature (LT) and high resistance (HR) layer were grown as a buffer layer for the high-quality growth of the epitaxial GaN HEMT structure. For device fabrication, after the mesa etching, ohmic contacts were metallized and improved by annealing using rapid thermal annealing (RTA). Finally, gold pads for source, drain, and gate were deposited using e-beam evaporation. The VCSEL structure was grown by MOCVD on a GaAs substrate. The epilayer structure is composed of three InGaAs–AlGaAs multiple-quantum-wells (MQWs) sandwiched between a 38-pair n-type and 21-pair p-type Al0.90Ga0.10As–Al0.05Ga0.95As distributed-Bragg-reflector (DBR) layers with an p-type Al0.98Ga0.02As layer (30 nm thickness) above the MQWs for oxidation. An oxidation technique was used to define a circular current-confined area of 10 µm in diameter. The 10-µm aperture size has been employed to maintain the consistency of the fabrication and to achieve the optimum number of cavity modes and gain for our applications. On the backside of the GaAs substrate, gold film was deposited by e-beam evaporation, which serves as a bottom electrode. Subsequently, a VCSEL chip was integrated on a HEMT using a thermally-assisted cold-welding method51. 200 MPa force is applied to the pre-cleaned surface between the two gold films at 270 °C. To apply uniform force over the interfaced area, a Teflon film is inserted between the sample and the pressing head.
Electrical characterization
Electrical performance of the hetero-integrated devices was characterized by a KEYSIGHT B1500A Semiconductor Device Analyzer equipped with a waveform generator/fast measurement unit, a pulse generator (KEYSIGHT 33600A Series), and Digilent Analog Discovery 2. To measure pulse repetition rate (PRF) and photodiode current, an oscilloscope (KEYSIGHT DSO-X 3024T), and current amplifier (Edmund 59–179) were employed to minimize external noise. A continuous measurement mode was adopted for the I-V characteristics. An additional power supplier (GS-1325-ND) was used for ToF ranging and imaging. With a Si-based counterpart reference device for comparison, LND 150 commercially available Si-MOSFETs and SFH2505 photodiodes (OSRAM Opto Semiconductors) were adopted.
Ray tracing simulations
COMSOL Multiphysics software was used for the ray tracing simulation. To implement the simulation, the two-dimensional model with geometrical optics (GOP), and ray tracing study was adopted. The refractive index of the objects was 3.6. In the GOP section, the maximum number of secondary rays were 500, and 940 nm was employed for the ray properties. The cone angle of the emitted beam from VCSEL was 10 degrees. For the surface property of the object for simulation, objects with the specular reflection surface conditions were used for convenience. A ray detector was added to count photons passing through the detecting area.
Time-of-flight implementation
Phase shift-based ToF was employed for this study. To record the exact phase difference from both transmitter and receiver signal, OPT3101 (Texas Instruments) analog front-end (AFE) was used. The transmitter square-shaped waves are based on continuous-wave modulation, which was then used to calculate the phase difference between transmitted and received signal. The calibration is performed to eliminate the crosstalk caused by the background signal for precise measurement. To calibrate the module, the software development kit (SDK) code was run at various temperatures to measure both crosstalk and phase. Then, the phase at various ambient light brightness was measured; the values gained and extracted from the calibration were used to the correct SDK method which relates these values to register writes.
3D ToF imaging simulations
Heidelberg LiDAR operations simulator (Helios, GIScience) software package was utilized to generate 3D point cloud data. The optical flux is collimated, the optical power is 4 W, and the wavelength of the simulation is the same wavelength used in this work (945 nm). Scanning angle is 50 degrees, the pulse width is 30 ns, and the scanning frequency is 500 Hz. With this simulation, the resolution of commercialized LiDAR was compared to the work done in this study; thus, the horizontal scanning speed (\({v}_{h}\)), vertical scanning speed (\({v}_{v}\)), and total scanning time (\({\rm{t}}\)) are the same. Since the number of ranged 3D points are proportional to \({v}_{h}{v}_{v}t\times PRF\), PRF determines the lateral resolution of imaging, and maximum ranging distance. The ranging resolution is determined by response time of each LiDAR components, such as an emitter, receiver and peripheral circuits. In the case of the simulation for commercialized LiDAR, 40 kHz PRF is adopted. 500 kHz PRF is adopted for this work, which is the identical frequency measured using the fabricated hetero-integrated ToF sensor (See Supplementary Fig. S3).
Data availability
The data related to the figures and other findings of this study are available from the corresponding author upon reasonable request.
References
Brinkløv, S., Fenton, M. B. & Ratcliffe, J. M. Echolocation in oilbirds and swiftlets. Front. Physiol. 4, 1–12 (2013).
Novacek, M. J. Evidence for echolocation in the oldest known bats. Nature 315, 140–141 (1985).
Benoit-Bird, K. J. & Au, W. W. L. Automatic gain control in the echolocation system of dolphins. Nature 423, 861–863 (2003).
Zhou, X. et al. Baiji genomes reveal low genetic variability and new insights into secondary aquatic adaptations. Nat. Commun. 4, 1–6 (2013).
Bhandari, A. & Raskar, R. Signal Processing for Time-of-Flight Imaging Sensors: An introduction to inverse problems in computational 3-D imaging. IEEE Signal Process. Mag. 33, 45–58 (2016).
Horaud, R., Hansard, M., Evangelidis, G. & Ménier, C. An overview of depth cameras and range scanners based on time-of-flight technologies. Mach. Vis. Appl. 27, 1005–1020 (2016).
Li, L. Time-of-Flight Camera – An Introduction. Texas Instruments-Technical WhitePaper (2014).
Otoole, M., Lindell, D. B. & Wetzstein, G. Confocal non-line-of-sight imaging based on the light-cone transform. Nature 555, 338–341 (2018).
Kirmani, A. et al. First-Photon Imaging. 343, 58–62 (2014).
McCarthy, A. et al. Kilometer-range, high resolution depth imaging via 1560 nm wavelength single-photon detection. Opt. Express 21, 8904 (2013).
Schwarz, B. LiDAR: Mapping the world in 3D. Nat. Photonics 4, 429–430 (2010).
Van Tricht, K. et al. Clouds enhance Greenland ice sheet meltwater runoff. Nat. Commun. 7, 10266 (2016).
Pedreros Bustos, F. et al. Remote sensing of geomagnetic fields and atomic collisions in the mesosphere. Nat. Commun. 9, 3981 (2018).
Sutfin, N. A. & Wohl, E. Elevational differences in hydrogeomorphic disturbance regime influence sediment residence times within mountain river corridors. Nat. Commun. 10, 2221 (2019).
McManamon, P. F. Errata: Review of ladar: a historic, yet emerging, sensor technology with rich phenomenology. Opt. Eng. 51, 089801–1 (2012).
Glaser, J. How GaN Power Transistors Drive High-Performance LiDAR. IEEE Power Electron. Mag. 4, 25–35 (2017).
Dora, Y. et al. High breakdown voltage achieved on AlGaN/GaN HEMTs with integrated slant field plates. IEEE Electron Device Lett. 27, 713–715 (2006).
Zeng, F. et al. A Comprehensive Review of Recent Progress on GaN High Electron Mobility Transistors: Devices, Fabrication and Reliability. Electronics 7, 377 (2018).
Russo, S. & Di Carlo, A. Influence of the source-gate distance on the AlGaN/GaN HEMT performance. IEEE Trans. Electron Devices 54, 1071–1075 (2007).
Oka, T., Ina, T., Ueno, Y. & Nishii, J. 1.8mΩ·cm2 vertical GaN-based trench metal-oxide-semiconductor field-effect transistors on a free-standing GaN substrate for 1.2-kV-class operation. Appl. Phys. Express 8, 2–4 (2015).
Heikman, S., Keller, S., Green, D. S., DenBaars, S. P. & Mishra, U. K. High conductivity modulation doped AlGaN/GaN multiple channel heterostructures. J. Appl. Phys. 94, 5321–5325 (2003).
Mutig, A. & Bimberg, D. Progress on high-speed 980nm VCSELs for short-reach optical interconnects. Adv. Opt. Technol. 2011 (2011).
Al-Omari, A. N., Alias, M. S., Ababneh, A. & Lear, K. L. Improved performance of top-emitting oxide-confined polyimide-planarized 980 nm VCSELs with copper-plated heat sinks. J. Phys. D. Appl. Phys. 45, 505101 (2012).
Liu, C., Cai, Y., Jiang, H. & Lau, K. M. Monolithic integration of III-nitride voltage-controlled light emitters with dual-wavelength photodiodes by selective-area epitaxy. Opt. Lett. 43, 3401 (2018).
Soh, M. et al. Heterogeneous Integration of GaN and BCD Technologies. Electronics 8, 351 (2019).
Lapisa, M., Stemme, G. & Niklaus, F. Wafer-level heterogeneous integration for MOEMS, MEMS, and NEMS. IEEE J. Sel. Top. Quantum Electron. 17, 629–644 (2011).
Xie, L. et al. Heterogeneous integration of bio-sensing system-on-chip and printed electronics. IEEE J. Emerg. Sel. Top. Circuits Syst. 2, 672–682 (2012).
Hwang, S. W. et al. 25th anniversary article: Materials for high-performance biodegradable semiconductor devices. Adv. Mater. 26, 1992–2000 (2014).
Kang, D. et al. Flexible Opto-Fluidic Fluorescence Sensors Based on Heterogeneously Integrated Micro-VCSELs and Silicon Photodiodes. ACS Photonics 3, 912–918 (2016).
Lu, Y., Huang, J. Y., Wang, C., Sun, S. & Lou, J. Cold welding of ultrathin gold nanowires. Nat. Nanotechnol. 5, 218–224 (2010).
Kuzmík, J. et al. Determination of channel temperature in AlGaN/GaN HEMTs grown on sapphire and silicon substrates using DC characterization method. IEEE Trans. Electron Devices 49, 1496–1498 (2002).
Zaffar, M., Ehsan, S., Stolkin, R. & Maier, K. M. D. Sensors, SLAM and Long-term Autonomy: A Review. 2018 NASA/ESA. Conf. Adapt. Hardw. Syst. AHS 2018, 285–290 (2018).
Fornetti, F., Morris, K. A. & Beach, M. A. Pulsed operation and performance of commercial GaN HEMTs. Proc. 2009 Eur. Microw. Integr. Circuits Conf. 226–9|56 (2009).
Kim, C. & Forrest, S. R. Fabrication of organic light-emitting devices by low-pressure cold welding. Adv. Mater. 15, 541–545 (2003).
Bay, N. Cold Pressure Welding - the Mechanisms Governing Bonding. J. Manuf. Sci. Eng. Trans. ASME 101, 121–127 (1978).
Ferguson, G. S., Chaudhury, M. K., Sigal, G. B. & Whitesides, G. M. Contact adhesion of thin gold-films on elastomeric supports—cold welding under ambient conditions. Science 253, 776–778 (1991).
Maturana, D. & Scherer, S. VoxNet: A 3D Convolutional Neural Network for real-time object recognition. IEEE Int. Conf. Intell. Robot. Syst 922–928 (2015).
Jing, H. & You, S. Point cloud labeling using 3D Convolutional Neural Network. Proc. - Int. Conf. Pattern Recognit. 2670–2675 (2017).
Qi, C. R., Liu, W., Wu, C., Su, H. & Guibas, L. J. Supplementary Material for Frustum PointNets for 3D Object Detection from RGB-D Data. Cvpr 1–6 (2017).
Su, S. et al. Material Classification Using Raw Time-of-Flight Measurements. Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit 3503–3511 (2016).
Bechtold, S. & Höfle, B. Helios: A multi-purpose LiDAR simulation framework for research, planning and training of laser scanning operations with airborne, ground-based mobile and stationary platforms. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 3, 161–168 (2016).
Moench, H. et al. High-power VCSEL systems and applications. High-Power Diode Laser Technol. Appl. XIII 9348, 93480W (2015).
Seurin, J.-F. et al. High-brightness pump sources using 2D VCSEL arrays. Vertical-Cavity Surface-Emitting Lasers XIV 7615, 76150F (2010).
Seurin, J.-F. et al. High-power red VCSEL arrays. Vertical-Cavity Surface-Emitting Lasers XVII 8639, 86390O (2013).
Yoo, H. W. et al. MEMS-based LiDAR for autonomous driving. Elektrotechnik und Informationstechnik 135, 408–415 (2018).
Wang, Y. & Wu, M. C. Micromirror based optical phased array for wide-angle beamsteering. Proc. IEEE Int. Conf. Micro Electro Mech. Syst. 897–900 (2017).
Kwong, D. et al. On-chip silicon optical phased array for two-dimensional beam steering. Opt. Lett. 39, 941 (2014).
Poulton, C. V. et al. Large-scale silicon nitride nanophotonic phased arrays at infrared and visible wavelengths. Opt. Lett. 42, 21 (2017).
Komljenovic, T., Helkey, R., Coldren, L. & Bowers, J. E. Sparse aperiodic arrays for optical beam forming and LiDAR. Opt. Express 25, 2511 (2017).
Davis, S. R., Farca, G., Rommel, S. D., Martin, A. W. & Anderson, M. H. Analog, non-mechanical beam-steerer with 80 degree field of regard. Acquis. Tracking, Pointing, Laser Syst. Technol. XXII 6971, 69710G (2008).
Lee, K., Zimmerman, J. D., Hughes, T. W. & Forrest, S. R. Non-destructive wafer recycling for low-cost thin-film flexible optoelectronics. Adv. Funct. Mater. 24, 4284–4291 (2014).
Acknowledgements
This work was supported by the GRRC program of Gyeonggi province. (GRRC-Ajou 2016B01, Photonics-Medical Convergence Technology).
Author information
Authors and Affiliations
Contributions
M.P. developed the project and simulated ToF ranging and imaging. M.P., Y.B., J.A., D.K. and C.Z. integrated the devices and characterized the electrical and optical performance of the devices. K.P. fabricated GaN HEMTs. W.C. fabricated and measured GaAs VCSELs. M.P. and M.D. developed calibration programming for the ToF implementation. M.P., M.D., D.L and J.M. implemented time-of-flight experiment setup including ranging and imaging. M.P. wrote the manuscript, and M.D. and J.M. contributed to edit the manuscript. S.K. designed circuit for the experiment. J.H and K.L. contributed to the analysis of the results and directed the entire study process. All authors commented on the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Park, M., Baek, Y., Dinare, M. et al. Hetero-integration enables fast switching time-of-flight sensors for light detection and ranging. Sci Rep 10, 2764 (2020). https://doi.org/10.1038/s41598-020-59677-x
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-020-59677-x
This article is cited by
-
Remote epitaxy and freestanding wide bandgap semiconductor membrane technology
Nature Reviews Electrical Engineering (2024)
-
Top-emitting 940-nm thin-film VCSELs transferred onto aluminum heatsinks
Scientific Reports (2022)