Dr. Yoann Altmann Profile

Dr. Yoann Altmann

Assistant Professor at Heriot-Watt Univ

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Author

Publications (11)

Proceedings Article | 15 June 2023 Presentation

Single-photon lidar in challenging imaging scenarios

Gerald Buller, Aongus McCarthy, Aurora Maccarone, Rachael Tobin, Jorge Garcia-Armenta, Ewan Wade, Ulrich Steinlehner, Abderrahim Halimi, Yoann Altmann

Proceedings Volume PC12512, PC125120A (2023) https://doi.org/10.1117/12.2666262

KEYWORDS: LIDAR, Visible radiation, Underwater imaging, Time correlated single photon counting, Technology, Short wave infrared radiation, Scattering, Picosecond phenomena, Photon counting, Infrared radiation

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Proceedings Article | 7 December 2022 Presentation + Paper

Advances in metasurface-based mosaic filters for single-photon detector arrays

Peter W. Connolly, Yash Shah, Jessica Valli, Arran Sykes, James Grant, Claudio Accarino, Yoann Altmann, Colin Rickman, David R. Cumming, Gerald Buller

Proceedings Volume 12274, 122740J (2022) https://doi.org/10.1117/12.2643396

KEYWORDS: Optical filters, Detector arrays, Image filtering, Single photon detectors, Lithography, LIDAR, Imaging systems, Polarization, Multispectral imaging

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Proceedings Article | 7 December 2022 Presentation

Real-time underwater single-photon three-dimensional imaging

Aurora Maccarone, Kristofer Drummond, Aongus McCarthy, Ulrich Steinlehner, Yvan Petillot, Robert Henderson, Yoann Altmann, Gerald Buller

Proceedings Volume 12274, 1227403 (2022) https://doi.org/10.1117/12.2638494

KEYWORDS: 3D image processing, 3D metrology, Transceivers, Picosecond phenomena, Detector arrays, Video acceleration, Video, Temporal resolution, Underwater imaging, Target acquisition

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Proceedings Article | 12 April 2021 Presentation

Silicon single photon avalanche diodes detector arrays for underwater applications

Aurora Maccarone, Ulrich Steinlehner, Aongus McCarthy, Giulia Acconcia, Ivan Labanca, Yoann Altmann, Ivan Rech, Robert Henderson, Gerald Buller

Proceedings Volume 11721, 117210R (2021) https://doi.org/10.1117/12.2589703

KEYWORDS: Single photon, Silicon, Detector arrays, Avalanche photodiodes, Single photon detectors, Scattering, Custom fabrication, Underwater imaging, Transceivers, Temporal resolution

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Proceedings Article | 23 April 2020 Presentation

Aurora Maccarone, Aongus McCarthy, Julián Tachella, Francesco Mattioli Della Rocca, Yoann Altmann, Stephen McLaughlin, Robert Henderson, Gerald Buller

Proceedings Volume 11386, 113860A (2020) https://doi.org/10.1117/12.2558511

KEYWORDS: Scattering, 3D acquisition, 3D image processing, Picosecond phenomena, Temporal resolution, Transceivers, Single photon detectors, LIDAR, Profiling, 3D metrology

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Proceedings Article | 10 October 2019 Presentation + Paper

Underwater depth imaging using time-correlated single-photon counting at video frame rates

Aurora Maccarone, Aongus McCarthy, Julian Tachella, Diego Aguirre Garcia, Francesco Mattioli Della Rocca, Yoann Altmann, Stephen McLaughlin, Robert Henderson, Gerald Buller

Proceedings Volume 11160, 111600I (2019) https://doi.org/10.1117/12.2534303

KEYWORDS: Time correlated photon counting, Single photon, LIDAR, Underwater imaging, Scattering, Binary data, Transceivers, Detector arrays, Sensors, Imaging systems, Detection and tracking algorithms, 3D image processing, Signal attenuation, Reconstruction algorithms

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Proceedings Article | 9 September 2019 Paper

On fast object detection using single-photon lidar data

Julian Tachella, Yoann Altmann, Stephen McLaughlin, Jean-Yves Tourneret

Proceedings Volume 11138, 111380T (2019) https://doi.org/10.1117/12.2527685

KEYWORDS: Photons, LIDAR, Target detection, Detection and tracking algorithms, Reflectivity, Single photon detectors, Signal detection, Reconstruction algorithms

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Proceedings Article | 22 July 2019 Paper

Characterising cross-coupling in coherent fibre bundles

Helen Parker, Antonios Perperidis, Ahmed Karam-Eldaly, Yoann Altmann, Kevin Dhaliwal, Robert Thomson, Stephen McLaughlin, Michael Tanner

Proceedings Volume 11076, 110761D (2019) https://doi.org/10.1117/12.2527054

KEYWORDS: Fiber couplers, Modeling, Imaging systems, Binary data, Image processing, Data modeling, Medical research, Endomicroscopy, Image segmentation, Cameras

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Proceedings Article | 14 May 2018 Presentation

Analysis of three-dimensional scenes using photon-starved data in cluttered target scenarios (Conference Presentation)

Julian Tachella, Yoann Altmann, Aurora Maccarone, Agata Pawlikowska, Aongus McCarthy, Robert Lamb, Jean-Yves Tourneret, Stephen McLaughlin, Gerald Buller

Proceedings Volume 10650, 1065007 (2018) https://doi.org/10.1117/12.2305493

KEYWORDS: 3D acquisition, Photons, 3D modeling, LIDAR, Reflectivity, Monte Carlo methods, Target recognition, Target detection, Object recognition

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Proceedings Article | 14 May 2018 Presentation

Aurora Maccarone, Aongus McCarthy, Abderrahim Halimi, Julian Tachella, Puneet Chhabra, Yoann Altmann, Andrew Wallace, Stephen MaLaughlin, Yvan Petillot, Gerald Buller

Proceedings Volume 10659, 106590R (2018) https://doi.org/10.1117/12.2304937

KEYWORDS: Underwater imaging, Image restoration, Scattering, Transceivers, Fiber coupled lasers, Silicon, Semiconductor lasers, Ocean optics, Algorithm development, Target acquisition

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Proceedings Article | 27 January 2017 Presentation

Towards real-time tracking of hidden objects in real-life scenarios (Conference Presentation)

Susan Chan, Ryan Warburton, Genevieve Gariepy, Yoann Altmann, Steve McLaughlin, Jonathan Leach, Daniele Faccio

Proceedings Volume 9992, 99920P (2017) https://doi.org/10.1117/12.2241094

KEYWORDS: Wavefronts, Sensors, Data hiding, Avalanche photodiodes, Picosecond phenomena, Imaging systems, Cameras, Single photon detectors, Pulsed laser operation, Spherical lenses

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Advances in LIDAR-based methods have enabled the detection and reconstruction of images of static objects hidden from the direct line-of-sight [1, 2]. One of the drawbacks to the technology used in these demonstrations is the requirement for long acquisition times. More recently, Gariepy et al. have shown that it is possible to detect and track a moving hidden object, albeit with no information of the object’s form [3]. Applications of this include, but are not limited to, search and rescue, and hazard detection. We present a real-time tracking system that enables the detection of moving objects that are outside the direct line-of-sight. Our active imaging system is a single-pixel variant of the technology reported by Gariepy et al. It replaces the single-photon avalanche diode (SPAD) camera of 1024 pixels with a number of SPAD detectors to detect light back-scattered from the hidden object. The flexibility of the single-pixel detectors provides an increased field of view, allowing us to detect and simultaneously track with better precision with respect to a SPAD array. The use of single-pixel detectors also has the advantage of a high detection efficiency. We perform two proof-of-concept experiments using three pixels and a single pulsed laser to interrogate a “room” for a hidden object. In the first experiment, we demonstrate that we can accurately locate the position of a hidden object. In the second experiment, we use the same system and demonstrate that we can accurately track the motion of a hidden object in real time. The “room” is a purpose-built box measuring 102×102×77 cm. Optical access is provided by a 28×12 cm window. The target object is a 15×15 cm textured viewing screen that we move along a designated ground track outside the line-of- sight of our system. In our experiments, we send a train of light pulses through the window to the back of the room. The pulses scatter off the wall as a spherical wavefront that propagates in all directions. Some of this light reaches our hidden object and is scattered back again towards the rear wall where we image our three SPAD pixels. The SPAD detectors are capable of picosecond temporal resolutions. Our time-correlated single-photon counting system measures the photon arrival times (64 ps resolution) for the signal returning to each detector. A histogram is built up in one second of acquisition time over 80 million pulses. We use this temporal information in our target position retrieval of the hidden object. We place the object at 11 positions in turn in a seven minute experiment, and localise its position. We then perform real-time tracking and move the object around the hidden scene for approximately one minute, processing the target position retrieval every 1.5 s.

Showing 5 of 11 publications

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