François Robinet

According to our database, François Robinet authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Leveraging the edge and cloud for V2X-based real-time object detection in autonomous driving.

Faisal Hawlader, François Robinet, Raphaël Frank

Comput. Commun., January, 2024

Cooperative Perception Using V2X Communications: An Experimental Study.

Faisal Hawlader, François Robinet, Raphaël Frank

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

2023

Vehicle-to-Infrastructure Communication for Real-Time Object Detection in Autonomous Driving.

Faisal Hawlader, François Robinet, Raphaël Frank

Proceedings of the 18th Wireless On-Demand Network Systems and Services Conference, 2023

Poster: Lightweight Features Sharing for Real-Time Object Detection in Cooperative Driving.

Faisal Hawlader, François Robinet, Raphaël Frank

Proceedings of the IEEE Vehicular Networking Conference, 2023

2022

Striving for Less: Minimally-Supervised Pseudo-Label Generation for Monocular Road Segmentation.

François Robinet, Yussef Akl, Kaleem Ullah, Farzad Nozarian, Christian Müller, Raphaël Frank

IEEE Robotics Autom. Lett., 2022

Connected Vehicle Platforms for Dynamic Insurance.

Christian Colot, François Robinet, Geoffrey Nichils, Raphaël Frank

CoRR, 2022

Weakly-Supervised Free Space Estimation through Stochastic Co-Teaching.

François Robinet, Claudia Parera, Christian Hundt, Raphaël Frank

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

2021

RoboBus: A Diverse and Cross-Border Public Transport Dataset.

Georgios Varisteas, Raphaël Frank, François Robinet

Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Refining Weakly-Supervised Free Space Estimation Through Data Augmentation and Recursive Training.

François Robinet, Raphaël Frank

Proceedings of the Artificial Intelligence and Machine Learning, 2021

2020

Leveraging Privileged Information to Limit Distraction in End-to-End Lane Following.

François Robinet, Antoine Demeules, Raphaël Frank, Georgios Varisteas, Christian Hundt

Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020