activity
20232026
most citedLeveraging the Edge and Cloud for V2X-Based Real-Time Object Detection in Autonomous Driving

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

An Empirical Study on Predictive Maintenance for Component X in Heavy-Duty Scania Trucks

Valeriu Dimidov, Sasan Jafarnejad, Raphaël Frank

Condition-based Predictive Maintenance (PdM) for truck fleets has gained momentum in recent years. This maintenance strategy aims to minimize unplanned downtimes and reduce costs b…

cs.NI2026

End-to-End Latency Measurement Methodology for Connected and Autonomous Vehicle Teleoperation

François Provost, Faisal Hawlader, Mehdi Testouri +1

Connected and Autonomous Vehicles (CAVs) continue to evolve rapidly, and system latency remains one of their most critical performance parameters, particularly when vehicles are op…

cs.PF2025

Motion-to-Motion Latency Measurement Framework for Connected and Autonomous Vehicle Teleoperation

François Provost, Faisal Hawlader, Mehdi Testouri +1

Latency is a key performance factor for the teleoperation of Connected and Autonomous Vehicles (CAVs). It affects how quickly an operator can perceive changes in the driving enviro…

cs.ET2025★ 1 cited

5G-Enabled Teleoperated Driving: An Experimental Evaluation

Mehdi Testouri, Gamal Elghazaly, Faisal Hawlader +1

Teleoperated driving enables remote human intervention in autonomous vehicles, addressing challenges in complex driving environments. However, its effectiveness depends on ultra-lo…

cs.CV2023★ 2 cited

Leveraging the Edge and Cloud for V2X-Based Real-Time Object Detection in Autonomous Driving

Faisal Hawlader, François Robinet, Raphaël Frank

Environmental perception is a key element of autonomous driving because the information received from the perception module influences core driving decisions. An outstanding challe…