activity
20232026
most citedUnveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices

35 citations · 37 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

8 papers · 1 filter

cs.NI2026

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…

cs.NI2026

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…

cs.NI2026★ 1 cited

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…

cs.NI2026

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…

cs.NI2026

When Cooperation Should End: Maneuver Coordination Cancellation for Connected Automated Driving

Rafael Molina-Masegosa, Sergei S. Avedisov, Miguel Sepulcre +2

Maneuver coordination is essential for cooperative connected automated driving, enabling vehicles to negotiate maneuvers and interactions through V2X communication. While prior wor…

cs.NI2026★ 1 cited

5G Network Architecture and Configuration Choices to Support Teleoperated Driving at Scale

M. C. Lucas-Estañ, B. Coll-Perales, M. I. Khan +4

Teleoperated driving (ToD) enables the remote driving or control of vehicles. For this purpose, vehicles must transmit video feeds to the ToD control center so that the remote oper…

cs.NI2026

Impact of ADAS and V2X Penetration Rates on Cooperative Active Safety

M. C. Lucas-Estañ, B. Coll-Perales, M. I. Khan +2

A major driver of connected and automated driving is cooperative active safety. The effectiveness of cooperative safety applications depends on the ability of vehicles to detect tr…

cs.RO2026

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…