3 papers
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…
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…
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…