Synthèse rapport d’activités 2021 – CRIANN
Redouane Khemmar, Antoine Mauri, Benoit Decoux, Madjid Haddad, Rémi Boutteau. Real-Time 3D Multi-Object Detection and Localization Based on Deep Learning for Road and Railway Smart Mobility. Journal of Imaging, MDPI, 2021, 7 (8), pp.145.⟨hal-03369862⟩
Louis Lecrosnier, Redouane Khemmar, Nicolas Ragot, Romain Rossi, Jean Yves Ertaud, et al.. Object Detection, Localisation, and Tracking-based Deep Learning for Smart Wheelchair. AMSE, Journal of the Association for the Advancement of Modelling and Simulation Techniques in Enterprises, AMSE Press, In press. ⟨hal-03152028⟩
A. Mauri, Redouane Khemmar, B. Decoux, M. Haddad, Rémi Boutteau. Lightweight convolutional neural network for real-time 3D object detection in road and railway environments. Journal of Real-Time Image Processing, Springer Verlag, 2022,⟨hal-03592337⟩
Rim Trabelsi, Redouane Khemmar, Benoit Decoux, Jean-Yves Ertaud, Rémi Butteau. Recent Advances in Vision-Based On-Road Behaviors Understanding: A Critical Survey. Sensors, MDPI, 2022, 22 (7), pp.2654.⟨hal-03630603⟩
L. Ménard, A. Petit, à. Leblong, M. Stein, E. Hatzidimitriadou, R. Khemmar, S. Manship, R. Morris, N. Ragot, P. Gallien (TBC), Novel robotic assistive technologies: choosing appropriate training for healthcare professionals AMSE-IIETA journal – 2021
Julien Ducrocq, Guillaume Caron, El Mustapha Mouaddib – HDROmni: Optical extension of dynamic range for panoramic robot vision – IEEE Robotics and Automation Letters, IEEE In press – 2021
Louis Lecrosnier, Redouane Khemmar, Nicolas Ragot, Benoit Decoux, Romain Rossi, Naceur Kefi, Jean-Yves Ertaud – Deep Learning-Based Object Detection, Localisation and Tracking for Smart Wheelchair Healthcare Mobility » in International Journal Environmental Research and Public Health as part of the Special Issue Assistive Technologies for Children, Young People and Adults – 2021
Antoine Mauri, Redouane Khemmar, Benoit Decoux, Nicolas Ragot, Romain Rossi, Rim Trabelsi, Rémi Boutteau, Jean-Yves Ertaud and Xavier Savatier, Deep Learning for Real-Time 3D Multi-Object Detection, Localisation, and Tracking: Application to Smart Mobility, in Sensors 2020, 20(2), 532
L. Devigne, M. Aggravi, P. Bivaud, N. Balix, S. Teodorescu, T. Carlson, T. Spreters, C. Pacchierotti, M. Babel. Power Wheelchair Navigation Assistance Using Wearable Vibrotactile Haptics, in IEEE Transactions on Haptics, vol. 13, no. 1, pp. 52-58, 1 Jan.-March 2020.
H.-E. Benseddik, F. Morbidi, G. Caron.PanoraMIS: An Ultra-wide Field of View Image Dataset for Vision-based Robot-Motion Estimation,The International Journal of Robotics Research, accepté le 26 février 2020, in press.
Mohamed E, Sirlantzis K and Howells G. Application of Transfer Learning for Object Detection on Manually Collected Data Intelligent Systems and Applications Volume 1, 24/08/2019
A. Baudry, S. Guegan, M. Babel. Taking caster wheel behavior into account in the kinematics of powered wheelchairs. Modelling, Measurement and Control C, 79(4):168-172, Décembre 2018.
F. Devigne, F. Pasteau, N. Le Borgne, M. Babel, T. Carlson, P. Gallien. Assisting power wheelchair driving on a sidewalk: A proof of concept. Modelling, Measurement and Control C, 79(4):185-189, Décembre 2018.
P. Gallien, B. Nicolas, L. Devigne, F. Pasteau, L. Lepape, M. Babel, A. Colin, S. Achille, B. Fraudet. Virtual reality simulator for speeding up research on assisted power wheelchair navigation. Annals of Physical and Rehabilitation Medicine, 60, Septembre 2017.
F. Morbidi, G. Caron,&Phase Correlation for Dense Visual Compass from Omnidirectional Camera-Robot Images,à sIEEE Robotics and Automation Letters, vol. 2, n. 2, pp. 688-695, Avril 2017 (also presented at the 2017 IEEE Int. Conf. Robotics and Automation).