7 citations · 15 across the 16 of their papers we have counts for
24 papers
Execution Timing Control for Deterministic Task Offloading in the IoT-Edge-Cloud Continuum
Keyvan Aghababaiyan, Baldomero Coll-Perales, Javier Gozalvez
Latency-critical IoT applications, such as autonomous mobility and industrial automation, require deterministic guarantees to ensure that tasks are completed within strict deadline…
How the Fusion of Onboard Sensors and V2X Data can Improve (or not) the Cooperative Perception of Connected Automated Vehicles
Amir Mohammadisarab, Miguel Sepulcre, Luca Lusvarghi +1
Automated vehicles rely on onboard sensors to perceive their surroundings and navigate autonomously. However, sensor performance may degrade under adverse weather conditions or whe…
Fusion or Confusion? Potential and Challenges in Fusion of Onboard Sensors and V2X Data in Cooperative Perception
Amir Mohammadisarab, Miguel Sepulcre, Luca Lusvarghi +5
Connected Automated Vehicles (CAVs) utilize their onboard sensors to perceive the environment. The perception range and accuracy can be affected by adverse weather or non-line-of-s…
Latency-Sensitive 5G RAN Slicing for Deterministic Aperiodic Traffic in Smart Manufacturing
M. Carmen Lucas-Estañ, Jan GarcÃa-Morales, Javier Gozalvez
5G and beyond networks will support the digitalization of smart manufacturing thanks to their capacity to simultaneously serve different types of traffic with distinct QoS requirem…
Importance of Intent-Sharing for V2X-based Maneuver Coordination
Rafael Molina-Masegosa, Sergei S. Avedisov, Miguel Sepulcre +3
This paper examines the critical role of intent-sharing in enabling effective maneuver coordination for connected and automated vehicles (CAVs). Successful maneuver coordinations r…
FORESEE: A Cooperative Lane Change Model for Connected and Automated Driving
Rafael Molina-Masegosa, Sergei S. Avedisov, Miguel Sepulcre +3
This paper presents FORESEE, a novel cooperative lane change model for connected and automated driving. FORESEE leverages Vehicle-to-Everything (V2X) data to anticipate traffic con…