Leveraging Privileged Information to Limit Distraction in End-to-End Lane Following. - François Robinet; Antoine Demeules; Raphaël Frank; Georgios Varisteas; Christian Hundt 002 (CCNC, 2020)

Refining Weakly-Supervised Free Space Estimation Through Data Augmentation and Recursive Training. - François Robinet; Raphaël Frank (BNAIC/BENELEARN, 2021)

RoboBus: A Diverse and Cross-Border Public Transport Dataset. - Georgios Varisteas; Raphaël Frank; François Robinet (PerCom Workshops, 2021)

Weakly-Supervised Free Space Estimation through Stochastic Co-Teaching. - François Robinet; Claudia Parera; Christian Hundt 002; Raphaël Frank (WACV (Workshops), 2022)

Connected Vehicle Platforms for Dynamic Insurance. - Christian Colot; François Robinet; Geoffrey Nichils; Raphaël Frank (CoRR, 2022)

Striving for Less: Minimally-Supervised Pseudo-Label Generation for Monocular Road Segmentation. - François Robinet; Yussef Akl; Kaleem Ullah; Farzad Nozarian; Christian Müller 014; Raphaël Frank (IEEE Robotics Autom. Lett., 2022)

Poster: Lightweight Features Sharing for Real-Time Object Detection in Cooperative Driving. - Faisal Hawlader; François Robinet; Raphaël Frank (VNC, 2023)

Vehicle-to-Infrastructure Communication for Real-Time Object Detection in Autonomous Driving. - Faisal Hawlader; François Robinet; Raphaël Frank (WONS, 2023)

A Risk-Based AML Framework: Finding Associates Through Ultimate Beneficial Owners. - Sasan Jafarnejad; François Robinet; Raphaël Frank (CIFEr, 2024)

Cooperative Perception Using V2X Communications: An Experimental Study. - Faisal Hawlader; François Robinet; Raphaël Frank (VTC Fall, 2024)

Leveraging the edge and cloud for V2X-based real-time object detection in autonomous driving. - Faisal Hawlader; François Robinet; Raphaël Frank (Comput. Commun., 2024)

Cloud-Assisted 360-Degree 3D Perception for Autonomous Vehicles Using V2X Communication and Hybrid Computing. - Faisal Hawlader; François Robinet; Gamal Elghazaly; Raphaël Frank (WONS, 2025)