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Borer D, Delbruck T, Rösgen T (2017) Three-dimensional particle tracking velocimetry using dynamic vision sensors. Exp Fluids. https://doi.org/10.1007/s00348-017-2452-5 Bouvier M (2021) Study and design of an energy efficient perception module combining event-based image sensors and spiking neural network with 3D integration technologies. Theses, Université Grenoble Alpes [2020-....], https://tel.archives-ouvertes.fr/tel-03405455 Brandli C, Mantel T, Hutter M et al (2014) Adaptive pulsed laser line extraction for terrain reconstruction using a dynamic vision sensor. Front Neurosci. https://doi.org/10.3389/fnins.2013.00275 Finateu T, Niwa A, Matolin D, et al (2020) 5.10 - A 1280\(\times\)720 back-illuminated stacked temporal contrast event-based vision sensor with 4.86 \(\upmu\)m pixels, 1.066GEPS readout, programmable event-rate controller and compressive data-formatting pipeline. In: 2020 IEEE international solid- state circuits conference - (ISSCC), pp 112–114, https://doi.org/10.1109/ISSCC19947.2020.9063149 Gallego G, Delbrück T, Orchard G et al (2022) Event-based vision: a survey. IEEE Trans Pattern Anal Mach Intell 44(1):154–180. https://doi.org/10.1109/TPAMI.2020.3008413 Gesemann S, Huhn F, Schanz D, et al (2016) From noisy particle tracks to velocity, acceleration and pressure fields using b-splines and penalties. In: 18th international symposium on applications of laser techniques to fluid mechanics, no. 186 in Conference Proceedings online, Book of Abstracts, pp 1–17, https://elib.dlr.de/101422/ Godbersen P, Schröder A (2020) Functional binning: improving convergence of Eulerian statistics from Lagrangian particle tracking. Meas Sci Technol 31(9):095304. https://doi.org/10.1088/1361-6501/ab8b84 Huang X, Zhang Y, Xiong Z (2021) High-speed structured light based 3d scanning using an event camera. Opt Express 29(22):35864–35876. https://doi.org/10.1364/OE.437944 Joubert D, Hébert M, Konik H et al (2019) Characterization setup for event-based imagers applied to modulated light signal detection. Appl Opt 58(6):1305–1317. https://doi.org/10.1364/AO.58.001305 Lichtsteiner P, Posch C, Delbruck T (2008) A 128\(\times\)128 120 dB 15 \(\upmu\)s latency asynchronous temporal contrast vision sensor. IEEE J Solid-State Circuits 43(2):566–576. https://doi.org/10.1109/JSSC.2007.914337 Lynch K, Scarano F (2013) A high-order time-accurate interrogation method for time-resolved PIV. Meas Sci Technol 24(3):035305. https://doi.org/10.1088/0957-0233/24/3/035305 Mahowald M (1992) VLSI analogs of neuronal visual processing: a synthesis of form and function. PhD thesis, California Institute of Technology, Pasadena (CA), https://resolver.caltech.edu/CaltechCSTR:1992.cs-tr-92-15 Muglikar M, Gallego G, Scaramuzza D (2021) ESL: event-based structured light. CoRR abs/2111.15510. https://arxiv.org/abs/2111.15510 Robotics and Perception Group (2022) Event-based vision resources. https://github.com/uzh-rpg/event-based_vision_resources, Rusch A, Rösgen T (2021) TrackAER: Real-time event-based particle tracking. In: 14th international symposium on particle image velocimetry (ISPIV 2021). Illinois Institute of Technology, Chicago, IL, p 176, https://doi.org/10.18409/ispiv.v1i1.176 Rusch A, Rösgen T (2022) Online event-based insights into unsteady flows with TrackAER. In: 20th international symposium on application of laser and imaging techniques to fluid mechanics, Lisbon, Portugal, https://www.research-collection.ethz.ch/handle/20.500.11850/588738 Schlatter P, Örlü R (2010) Assessment of direct numerical simulation data of turbulent boundary layers. J Fluid Mech 659:116–126. https://doi.org/10.1017/S0022112010003113 Sciacchitano A, Scarano F, Wieneke B (2012) Multi-frame pyramid correlation for time-resolved PIV. Exp Fluids 53:1087–1105. https://doi.org/10.1007/s00348-012-1345-x Takatani T, Ito Y, Ebisu A, et al (2016) Event-based bispectral photometry using temporally modulated illumination. In: IEEE conference computer vision and pattern recognition (CVPR) Tayarani-Najaran MH, Schmuker M (2021) Event-based sensing and signal processing in the visual, auditory, and olfactory domain: A review. Frontiers in Neural Circuits. https://doi.org/10.3389/fncir.2021.610446 Westerweel J (2002) Theoretical analysis of the measurement precision in particle image velocimetry. Exp Fluids 29(Suppl):S3–S12 Westerweel J, Scarano F (2005) Universal outlier detection for PIV data. Exp Fluids 39(6):1096–1100. https://doi.org/10.1007/s00348-005-0016-6 Westerweel J, Dabiri D, Gharib M (1997) The effect of a discrete window offset on the accuracy of cross-correlation analysis of digital PIV recordings. Exp Fluids 23:20–28. https://doi.org/10.1007/s003480050082 Willert C (2015) High-speed particle image velocimetry for the efficient measurement of turbulence statistics. Exp Fluids 56(1):17. https://doi.org/10.1007/s00348-014-1892-4 Willert C, Klinner J (2022) Event-based imaging velocimetry: An assessment of event-based cameras for the measurement of fluid flows. Exp Fluids 63:101. https://doi.org/10.1007/s00348-022-03441-6 Willert C, Klinner J (2022b) Event-based imaging velocimetry applied to a cylinder wake flow in air. In: 20th international symposium on application of laser and imaging techniques to fluid mechanics, https://elib.dlr.de/187568/1/LISBON_LxSymp_2022_paper230.pdf Willert C, Schanz D, Novara M, et al (2021) Multi-resolution, time-resolved piv measurements of a decelerating turbulent boundary layer near separation. In: 14th international symposium on particle image velocimetry (ISPIV 2021), https://doi.org/10.18409/ispiv.v1i1.77,