Deep Learning for Real-Time 3D Multi-Object Detection, Localisation, and Tracking: Application to Smart Mobility

Antoine Mauri; Redouane Khemmar; Benoit Decoux; Nicolas Ragot; Romain Rossi; Rim Trabelsi; Rémi Boutteau; Jean-Yves Ertaud; Xavier Savatier

doi:10.3390/s20020532

Journal articles

Deep Learning for Real-Time 3D Multi-Object Detection, Localisation, and Tracking: Application to Smart Mobility

Antoine Mauri ¹ Redouane Khemmar ² Benoit Decoux ^{2, 3} Nicolas Ragot ³ Romain Rossi ³ Rim Trabelsi ⁴ Rémi Boutteau ² Jean-Yves Ertaud ³ Xavier Savatier ³

1 UNIROUEN - Université de Rouen Normandie

2 Pôle Instrumentation, Informatique et Systèmes

IRSEEM - Institut de Recherche en Systèmes Electroniques Embarqués

3 IRSEEM - Institut de Recherche en Systèmes Electroniques Embarqués

4 ESIGELEC - École Supérieure d’Ingénieurs en Génie Électrique

Document type :

Journal articles

Domain :

Engineering Sciences [physics] / Signal and Image processing

Statistics [stat] / Machine Learning [stat.ML]

Computer Science [cs] / Artificial Intelligence [cs.AI]

Computer Science [cs] / Computer Vision and Pattern Recognition [cs.CV]

Computer Science [cs] / Embedded Systems

Computer Science [cs] / Machine Learning [cs.LG]

Computer Science [cs] / Neural and Evolutionary Computing [cs.NE]

Computer Science [cs] / Image Processing [eess.IV]

Complete list of metadata

https://hal-normandie-univ.archives-ouvertes.fr/hal-02632529
Contributor : Benoît Decoux <>
Submitted on : Wednesday, May 27, 2020 - 10:53:53 AM
Last modification on : Thursday, May 28, 2020 - 3:27:36 AM

Deep Learning for Real-Time 3D Multi-Object Detection, Localisation, and Tracking: Application to Smart Mobility

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Deep Learning for Real-Time 3D Multi-Object Detection, Localisation, and Tracking: Application to Smart Mobility

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