13 citations · 24 across the 10 of their papers we have counts for
14 papers
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…
Support of Teleoperated Driving with 5G Networks
M. Carmen Lucas-Estañ, Baldomero Coll-Perales, Mohammad Irfan Khan +4
Teleoperated driving (ToD) can support autonomous driving under complex or unexpected traffic scenarios that an autonomous vehicle may not understand or be able to handle. In ToD,…
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…
Multi-Target Maneuver Coordinations: Unlocking Coordination Opportunities in Connected Automated Driving
Rafael Molina-Masegosa, Sergei S. Avedisov, Miguel Sepulcre +3
Maneuver coordination is a key enabler of connected and automated driving, allowing vehicles to negotiate and execute maneuvers that would otherwise be difficult, inefficient or un…