Embedded implementation of a random feature detecting network for real-time classification of time-of-flight SPAD array recordings-Reference-Cited by-同舟云学术

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Embedded implementation of a random feature detecting network for real-time classification of time-of-flight SPAD array recordings

Published:2019-05-02 Issue: Volume: Page:
ISSN:
Container-title:Laser Radar Technology and Applications XXIV
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Author:

Mau Joyce,Afshar Saeed,Hamilton Tara,van Schaik Andre,Lussana Rudi,Panella Aaron,Trumpf Jochen,Delic Dennis V.

Publisher

SPIE

Reference13 articles.

1. Enhanced single-photon time-of-flight 3D ranging

2. Object Classification using Deep Learning on Extremely Low-Resolution Time-of-Flight Data;Ruvalcaba-Cardenas;2018 Digital Image Computing: Techniques and Applications (DICTA),2018

3. VoxNet: A 3D Convolutional Neural Network for real-time object recognition;Maturana,2015

4. An Analysis Of Convolutional Neural Networks For Image Classification

5. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices;Zhang,2018

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1. Neuromorphic Computing for Compact LiDAR Systems;More-than-Moore Devices and Integration for Semiconductors;2023

2. Microelectronic 3D Imaging and Neuromorphic Recognition for Autonomous UAVs;NATO Science for Peace and Security Series B: Physics and Biophysics;2020

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