Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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Bibliography

Major publications by the team in recent years
[1]
Z. Alsayed, G. Bresson, A. Verroust-Blondet, F. Nashashibi.
2D SLAM Correction Prediction in Large Scale Urban Environments, in: ICRA 2018 - International Conference on Robotics and Automation 2018, Brisbane, Australia, May 2018.
https://hal.inria.fr/hal-01829091
[2]
G. Fayolle, R. Iasnogorodski, V. A. Malyshev.
S. Asmussen, P. W. Glynn, Y. L. Jan (editors), Random Walks in the Quarter Plane: Algebraic Methods, Boundary Value Problems, Applications to Queueing Systems and Analytic Combinatorics, Probability Theory and Stochastic Modelling, Springer International Publishing, February 2017, vol. 40, 255 p, The first edition was published in 1999. [ DOI : 10.1007/978-3-319-50930-3 ]
https://hal.inria.fr/hal-01651919
[3]
C. Flores-Pino, P. Merdrignac, R. De Charette, F. Navas, V. Milanés, F. Nashashibi.
A Cooperative Car-Following/Emergency Braking System With Prediction-Based Pedestrian Avoidance Capabilities, in: IEEE Transactions on Intelligent Transportation Systems, June 2018, pp. 1 - 10. [ DOI : 10.1109/TITS.2018.2841644 ]
https://hal.inria.fr/hal-01835121
[4]
D. Gonzalez Bautista, J. Pérez, V. Milanés, F. Nashashibi.
A Review of Motion Planning Techniques for Automated Vehicles, in: IEEE Transactions on Intelligent Transportation Systems, April 2016. [ DOI : 10.1109/TITS.2015.2498841 ]
https://hal.inria.fr/hal-01397924
[5]
M. Jaritz, R. De Charette, M. Toromanoff, E. Perot, F. Nashashibi.
End-to-End Race Driving with Deep Reinforcement Learning, in: ICRA 2018 - IEEE International Conference on Robotics and Automation, Brisbane, Australia, May 2018, https://arxiv.org/abs/1807.02371.
https://hal.inria.fr/hal-01848067
[6]
D. O. Pop.
Multi-Task Cross-Modality Deep Learning for Pedestrian Risk Estimation, INSA Rouen, November 2019.
[7]
P. de Beaucorps.
Planification de trajectoire dans un environnement peu contraint et fortement dynamique, Sorbonne Université, July 2019.
Publications of the year

Doctoral Dissertations and Habilitation Theses

[8]
D. O. Pop.
Multi-Task Cross-Modality Deep Learning for Pedestrian Risk Estimation, INSA Rouen, November 2019.
[9]
P. de Beaucorps.
Planification de trajectoire dans un environnement peu contraint et fortement dynamique, Sorbonne Université, July 2019.

Articles in International Peer-Reviewed Journals

[10]
F. Navas, V. Milanés.
Mixing V2V- and non-V2V-equipped vehicles in car following, in: Transportation research. Part C, Emerging technologies, November 2019, vol. 108, pp. 167-181. [ DOI : 10.1016/j.trc.2019.08.021 ]
https://hal.inria.fr/hal-02392487
[11]
D. O. Pop.
Detection of pedestrian actions based on deep learning approach, in: Studia Universitatis Babeş-Bolyai. Informatica, 2019.
https://hal.inria.fr/hal-02414015
[12]
D. O. Pop, A. Rogozan, C. Chatelain, F. Nashashibi, A. Bensrhair.
Multi-Task Deep Learning for Pedestrian Detection, Action Recognition and Time to Cross Prediction, in: IEEE Access, 2019, vol. 7, pp. 149318-149327. [ DOI : 10.1109/ACCESS.2019.2944792 ]
https://hal.archives-ouvertes.fr/hal-02352800
[13]
D. O. Pop, A. Rogozan, F. Nashashibi, A. Bensrhair.
Pedestrian Recognition using Cross-Modality Learning in Convolutional Neural Networks, in: IEEE Intelligent Transportation Systems Magazine, March 2019.
https://hal.inria.fr/hal-02115347

International Conferences with Proceedings

[14]
F. Ghallabi, G. El-Haj-Shhade, M.-A. Mittet, F. Nashashibi.
LIDAR-Based road signs detection For Vehicle Localization in an HD Map, in: IV'19 - IEEE Intelligent Vehicles Symposium, Paris, France, IEEE, June 2019.
https://hal.archives-ouvertes.fr/hal-02117395
[15]
F. Ghallabi, M.-A. Mittet, G. El-Haj-Shhade, F. Nashashibi.
LIDAR-Based High Reflective Landmarks (HRL)s For Vehicle Localization in an HD Map, in: ITSC 2019 - IEEE Intelligent Transportation Systems Conference, Auckland, New Zealand, October 2019.
https://hal.archives-ouvertes.fr/hal-02185979
[16]
S. S. Halder, J.-F. Lalonde, R. De Charette.
Physics-Based Rendering for Improving Robustness to Rain, in: ICCV 2019 - International Conference on Computer Vision, Seoul, South Korea, October 2019, https://arxiv.org/abs/1908.10335 - ICCV 2019. Supplementary pdf / videos available on project page.
https://hal.inria.fr/hal-02385436
[17]
M. Jaritz, J. Gu, H. Su.
Multi-view PointNet for 3D Scene Understanding, in: Proceedings of the IEEE International Conference on Computer Vision Workshops, Seoul, South Korea, October 2019, https://arxiv.org/abs/1909.13603 - Geometry Meets Deep Learning Workshop, ICCV 2019.
https://hal.inria.fr/hal-02387461
[18]
K. Messaoud, I. Yahiaoui, A. Verroust-Blondet, F. Nashashibi.
Non-local Social Pooling for Vehicle Trajectory Prediction, in: IV 19 - IEEE Intelligent Vehicles Symposium 2019, Paris, France, June 2019.
https://hal.inria.fr/hal-02160409
[19]
K. Messaoud, I. Yahiaoui, A. Verroust-Blondet, F. Nashashibi.
Relational Recurrent Neural Networks For Vehicle Trajectory Prediction, in: ITSC 2019 - IEEE Intelligent transportation systems conference, Auckland, New Zealand, October 2019.
https://hal.inria.fr/hal-02195180
[20]
D. O. Pop, A. Rogozan, F. Nashashibi, A. Bensrhair.
Improving Pedestrian Recognition using Incremental Cross Modality Deep Learning, in: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, April 2019.
https://hal.inria.fr/hal-02115319
[21]
L. Roldão, R. De Charette, A. Verroust-Blondet.
3D Surface Reconstruction from Voxel-based Lidar Data, in: ITSC 2019 - IEEE Intelligent Transportation Systems Conference, Auckland, New Zealand, October 2019, https://arxiv.org/abs/1906.10515 - IEEE Intelligent Transportation Systems Conference (ITSC) 2019.
https://hal.inria.fr/hal-02165672
[22]
M. Sangare, D.-V. N. Nguyen, S. Banerjee, P. Muhlethaler, S. Bouzefrane.
Comparing different Machine-Learning techniques to predict Vehicles' Positions using the received Signal Strength of periodic messages, in: WMNC 2019. 12th IFIP Wireless and Mobile Networking Conference, Paris, France, September 2019.
https://hal.archives-ouvertes.fr/hal-02178360

Internal Reports

[23]
G. Le Lann.
Cyberphysical Constructs and Concepts for Fully Automated Networked Vehicles, Inria Paris-Rocquencourt, October 2019, no RR-9297.
https://hal.inria.fr/hal-02318242

Other Publications

[24]
R. De Charette, S. Manitsaris.
3D Reconstruction of Deformable Revolving Object under Heavy Hand Interaction, November 2019, https://arxiv.org/abs/1908.01523 - Submitted to journal.
https://hal.inria.fr/hal-02385443
[25]
G. Fayolle.
A note on the connection between product-form Jackson networks and counting lattice walks in the quarter plane, January 2020, working paper or preprint.
https://hal.inria.fr/hal-02415746
[26]
G. Fayolle, J.-M. Lasgouttes, C. Flores-Pino.
Stability and String Stability of Car-following Models with Reaction-time Delay, December 2019, working paper or preprint.
https://hal.inria.fr/hal-02413721
[27]
M. Jaritz, T.-H. Vu, R. De Charette, E. Wirbel, P. Pérez.
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation, December 2019, https://arxiv.org/abs/1911.12676 - For a demo video, see http://tiny.cc/xmuda.
https://hal.inria.fr/hal-02388974
[28]
F. Pizzati, R. De Charette, M. Zaccaria, P. Cerri.
Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation, January 2020, https://arxiv.org/abs/1910.10563 - Accepted at WACV 2020. [ DOI : 10.10563 ]
https://hal.archives-ouvertes.fr/hal-02436218
References in notes
[29]
R. Castiñeira, J. E. Naranjo, M. Gil, F. Jimenez, P. Serra, A. Valejo, A. Asvadi, C. Premebida, M. Abualhoul, F. Nashashibi.
AUTOCITS – Regulation study for interoperability in the adoption of autonomous driving in European urban nodes, in: TRA 2018 - Transport Research Arena, Vienna, Austria, April 2018.
https://hal.inria.fr/hal-01898256
[30]
G. Fayolle, C. Furtlehner.
About Hydrodynamic Limit of Some Exclusion Processes via Functional Integration, in: Int. Math. Conf. “50 Years of IPPI”, Moscow, Institute for Information Transmission Problems (Russian Academy of Sciences), July 2011, Proceedings on CD. ISBN 978-5-901158-15-9.
http://hal.inria.fr/hal-00662674
[31]
G. Fayolle, R. Iasnogorodski.
Random Walks in the Quarter-Plane: Advances in Explicit Criterions for the Finiteness of the Associated Group in the Genus 1 Case, in: Markov Processes and Related Fields, December 2015, vol. 21, no 4, Accepted for publication in the journal MPRF (Markov Processes and Related Fields).
https://hal.inria.fr/hal-01086684
[32]
G. Fayolle, J.-M. Lasgouttes.
Asymptotics and Scalings for Large Product-Form Networks via the Central Limit Theorem, in: Markov Processes and Related Fields, 1996, vol. 2, no 2, pp. 317-348.
[33]
C. Furtlehner, Y. Han, J.-M. Lasgouttes, V. Martin, F. Marchal, F. Moutarde.
Spatial and Temporal Analysis of Traffic States on Large Scale Networks, in: 13th International IEEE Conference on Intelligent Transportation Systems ITSC'2010, Madère, Portugal, September 2010.
https://hal-mines-paristech.archives-ouvertes.fr/hal-00527481
[34]
G. Le Lann.
Safety in Vehicular Networks-On the Inevitability of Short-Range Directional Communications, in: 14th International Conference ADHOC-NOW, 2015, Athens, Greece, S. Papavassiliou, S. Ruehrup (editors), Ad Hoc, Mobile, and Wireless Networks, Springer, June 2015, vol. Lecture Notes in Computer Science (LNCS), no 9143, 14 p, Mobile Ad Hoc Networks. [ DOI : 10.1007/978-3-319-19662-6_24 ]
https://hal.inria.fr/hal-01172595
[35]
V. Martin, C. Furtlehner, Y. Han, J.-M. Lasgouttes.
GMRF Estimation under Topological and Spectral Constraints, in: 7th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Nancy, France, T. Calders, F. Esposito, E. Hüllermeier, R. Meo (editors), Lecture Notes in Computer Science, Springer Berlin Heidelberg, September 2014, vol. 8725, pp. 370-385. [ DOI : 10.1007/978-3-662-44851-9_24 ]
https://hal.archives-ouvertes.fr/hal-01065607
[36]
V. Martin, J.-M. Lasgouttes, C. Furtlehner.
Latent binary MRF for online reconstruction of large scale systems, in: Annals of Mathematics and Artificial Intelligence, 2016, vol. 77, no 1, pp. 123-154.
[37]
P. de Beaucorps, A. Verroust-Blondet, R. Poncelet, F. Nashashibi.
RIS : A Framework for Motion Planning among Highly Dynamic Obstacles, in: ICARCV 2018 - 15th International Conference on Control, Automation, Robotics and Vision, Singapour, Singapore, November 2018.
https://hal.inria.fr/hal-01903318