Francois Robinet
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| Faculty or Centre | Interdisciplinary Centre for Security, Reliability and Trust | ||||
| Department | Ubiquitous and Intelligent Systems | ||||
| Postal Address |
Université du Luxembourg 29, avenue JF Kennedy L-1855 Luxembourg |
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| Campus Office | JFK Building, E02-211 | ||||
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| Telephone | (+352) 46 66 44 4912 | ||||
François Robinet received his Master’s degree in Computer Science and Engineering, from the Louvain School of Engineering, in 2016. He has a working experience in the development of machine learning models applied to clinical trials and price forecasting in the energy sector. His main research interests are in autonomous systems, in particular using machine learning to improve perception aspects. François joined the Service and Data Management in Distributed Systems group, SEDAN, headed by Dr. Radu State and he will be advised by Dr. Raphaël Frank.
Last updated on: Monday, 10 September 2018
2023
Connected Car Platforms, A Field Trial: Are they Ready for Usage Based Insurance?; ;
in Advances in Transdisciplinary Engineering (2023)
Poster: Lightweight Features Sharing for Real-Time Object Detection in Cooperative Driving; ;
in 2023 IEEE Vehicular Networking Conference (VNC) (2023, April 26)
Vehicle-to-Infrastructure Communication for Real-Time Object Detection in Autonomous Driving; ;
in 18th Wireless On-demand Network systems and Services Conference (WONS-23) (2023, January)
2022
Connected Vehicle Platforms for Dynamic Insurance; ; ;
in in Proceedings of the 6th International Conference on Intelligent Traffic and Transportation (2022)
Minimizing Supervision for Vision-Based Perception and Control in Autonomous DrivingDoctoral thesis (2022)
Striving for Less: Minimally-Supervised Pseudo-Label Generation for Monocular Road Segmentation; ; ; ; ;
in IEEE Robotics and Automation Letters (2022), 7(4), 10628-10634
Refining Weakly-Supervised Free Space Estimation Through Data Augmentation and Recursive Training;
in Artificial Intelligence and Machine Learning (2022)
Weakly-Supervised Free Space Estimation through Stochastic Co-Teaching; ; ;
in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2022 (2022, January 04)
2021
Refining Weakly-Supervised Free Space Estimation through Data Augmentation and Recursive Training;
in Proceedings of BNAIC/BeneLearn 2021 (2021, November 12)
RoboBus: A Diverse and Cross-Border Public Transport Dataset; ;
in Proceedings of the 19th International Conference on Pervasive Computing and Communications (PerCom 2021) (2021, March 22)
2020
Leveraging Privileged Information to Limit Distraction in End-to-End Lane Following; ; ; ;
in 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) (2020)
