13 citations · 13 across the 5 of their papers we have counts for
5 papers
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…
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…
FleetAgent: Teleoperation Assistant for Autonomous Fleets via Vectorized V2N Messages
Juntong Peng, Qi Chen, Deyuan Qu +3
Large-scale autonomous fleets rely on teleoperation to resolve rare failures, yet streaming raw sensor data from many vehicles is costly, and remote operators can only monitor a li…
Direct-V2X Support with 5G Network-based Communications: Performance, Challenges and Solutions
M. C. Lucas-Estañ, B. Coll-Perales, T. Shimizu +5
This study analyzes the feasibility of supporting critical V2X services using 5G network-based Vehicle-to-Network-to-Vehicle (V2N2V) communications. The study evaluates the end-to-…
CooperDrive: Enhancing Driving Decisions Through Cooperative Perception
Deyuan Qu, Qi Chen, Takayuki Shimizu +1
Autonomous vehicles equipped with robust onboard perception, localization, and planning still face limitations in occlusion and non-line-of-sight (NLOS) scenarios, where delayed re…