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F. Braghin

4 papers hereh-index 692 citations30 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • cs.CV1
  • eess.SY1
same name
  • F. Braghin — 9 papers, h 11
  • F. Braghin — 5 papers, h 5
  • F. Braghin — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

eess.SY2026

Homotopy-Guided Potential Games for Congestion-Aware Navigation

Mohammed Irshadh Ismaaeel Sathyamangalam Imran, Lasse Peters, Michael Khayyat +3

We address the multi-agent motion planning problem where interactions, collisions, and congestion co-exist. Conventional game-theoretic planners capture interactions among agents b…

cs.CV2025

RLCNet: An end-to-end deep learning framework for simultaneous online calibration of LiDAR, RADAR, and Camera

Hafeez Husain Cholakkal, Stefano Arrigoni, Francesco Braghin

Accurate extrinsic calibration of LiDAR, RADAR, and camera sensors is essential for reliable perception in autonomous vehicles. Still, it remains challenging due to factors such as…

cs.RO2025

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function

Satyesh Shanker Awasthi, Mohammed Irshadh Ismaaeel Sathyamangalam Imran, Stefano Arrigoni +1

Rigorous Verification and Validation (V&V) of Autonomous Driving Functions (ADFs) is paramount for ensuring the safety and public acceptance of Autonomous Vehicles (AVs). Current v…

cs.RO2025

Raci-Net: Ego-vehicle Odometry Estimation in Adverse Weather Conditions

Mohammadhossein Talebi, Pragyan Dahal, Davide Possenti +2

Autonomous driving systems are highly dependent on sensors like cameras, LiDAR, and inertial measurement units (IMU) to perceive the environment and estimate their motion. Among th…

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