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Antoine Mauri
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Books and Theses
- 2022
- [b1]Antoine Mauri:
Prédiction et évitement d'obstacles basés deep learning : Application à la mobilité ferroviaire et routière. (Obstacle prediction and avoidance based on deep learning : Application to rail and road mobility). Normandy University, Caen, France, 2022
Journal Articles
- 2023
- [j6]Alexandre Evain, Antoine Mauri, François Garnier, Messmer Kounouho, Redouane Khemmar, Madjid Haddad, Rémi Boutteau, Sébastien Breteche, Sofiane Ahmedali:
Improving the Efficiency of 3D Monocular Object Detection and Tracking for Road and Railway Smart Mobility. Sensors 23(6): 3197 (2023) - 2022
- [j5]Benoit Decoux, Redouane Khemmar, Nicolas Ragot, Arthur Venon, Marcos Grassi-Pampuch, Antoine Mauri, Louis Lecrosnier, Vishnu Pradeep:
A Dataset for Temporal Semantic Segmentation Dedicated to Smart Mobility of Wheelchairs on Sidewalks. J. Imaging 8(8): 216 (2022) - [j4]Antoine Mauri, Redouane Khemmar, Benoit Decoux, Madjid Haddad, Rémi Boutteau:
Lightweight convolutional neural network for real-time 3D object detection in road and railway environments. J. Real Time Image Process. 19(3): 499-516 (2022) - [j3]Redouane Khemmar, Antoine Mauri, Camille Dulompont, Jayadeep Gajula, Vincent Vauchey, Madjid Haddad, Rémi Boutteau:
Road and Railway Smart Mobility: A High-definition Ground Truth Hybrid Dataset. Sensors 22(10): 3922 (2022) - 2021
- [j2]Antoine Mauri, Redouane Khemmar, Benoit Decoux, Madjid Haddad, Rémi Boutteau:
Real-Time 3D Multi-Object Detection and Localization Based on Deep Learning for Road and Railway Smart Mobility. J. Imaging 7(8): 145 (2021) - 2020
- [j1]Antoine Mauri, Redouane Khemmar, Benoit Decoux, Nicolas Ragot, Romain Rossi, Rim Trabelsi, Rémi Boutteau, Jean-Yves Ertaud, Xavier Savatier:
Deep Learning for Real-Time 3D Multi-Object Detection, Localisation, and Tracking: Application to Smart Mobility. Sensors 20(2): 532 (2020)
Conference and Workshop Papers
- 2020
- [c1]Antoine Mauri, Redouane Khemmar, Rémi Boutteau, Benoit Decoux, Jean-Yves Ertaud, Madjid Haddad:
A new Evaluation Approach for Deep Learning-based Monocular Depth Estimation Methods. ITSC 2020: 1-6
Coauthor Index
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