Alfonso Incoronato
Polytechnic University of Milan
17 Papers
6 Citations
Alfonso Incoronato is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Computer science & Photon. The author has an hindex of 1, co-authored 9 publications.
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Papers
Statistical Modelling of SPADs for Time-of-Flight LiDAR
TL;DR: In this paper, the authors present a detailed statistical model of the acquisition chain and show the perfect matching with Monte Carlo simulations in very different operating conditions and very high background levels, taking into account SPAD non-idealities such as hold-off time, afterpulsing, and crosstalk.
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Historical Perspectives, State of Art and Research Trends of SPAD Arrays and Their Applications (Part II: SPAD Arrays)
Iris Cusini,David P. Berretta,Enrico Conca,Alfonso Incoronato,Francesca Madonini,Arianna Adelaide Maurina,Chiara Nonne,Simone Riccardo,Federica Villa +8 more
TL;DR: This review proposes a complete overview of silicon SPADs characteristics and applications, and focuses on the development of SPAD arrays, presenting some of the most notable examples found in literature.
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Single-Shot Pulsed-LiDAR SPAD Sensor with on-chip Peak Detection for Background Rejection
TL;DR: In this article , a single-shot technique is proposed to provide just one useful TOF per laser pulse, corresponding to the returning peak signal with the highest number of concurrent photons.
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Multi-Channel SPAD Chip for Silicon Photonics With Multi-Photon CoIncidence Detection
TL;DR: In this paper , the authors presented a microelectronic chip consisting of 32 independent single-photon counting and multiphoton time-coincidence channels, based on Single Photon Avalanche Diodes (SPADs), for a broad spectrum of quantum applications.
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Time-to-Digital Converters and histogram builders in SPAD arrays for pulsed-LiDAR
TL;DR: In this article , the authors present a review of recent TDC architectures suitable to be integrated in SPAD-based CMOS arrays and a data processing solution to derive the TOF information.
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