59 citations · 60 across the 8 of their papers we have counts for
8 papers
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…
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…
Tactical Game-theoretic Decision-making with Homotopy Class Constraints
Michael Khayyat, Alessandro Zanardi, Stefano Arrigoni +1
We propose a tactical homotopy-aware decision-making framework for game-theoretic motion planning in urban environments. We model urban driving as a generalized Nash equilibrium pr…
ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics
Luca Paparusso, Shreyas Kousik, Edward Schmerling +2
The past few years have seen immense progress on two fronts that are critical to safe, widespread mobile robot deployment: predicting uncertain motion of multiple agents, and plann…
Model Predictive Control Strategies for Electric Endurance Race Cars Accounting for Competitors Interactions
Jorn van Kampen, Mauro Moriggi, Francesco Braghin +1
This paper presents model predictive control strategies for battery electric endurance race cars accounting for interactions with the competitors. In particular, we devise an optim…
NMPC trajectory planner for urban autonomous driving
Francesco Micheli, Mattia Bersani, Stefano Arrigoni +2
This paper presents a trajectory planner for autonomous driving based on a Nonlinear Model Predictive Control (NMPC) algorithm that accounts for Pacejka's nonlinear lateral tyre dy…