Mattia Piccinini

29 papers A* 1A 2C 1Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Differentiable Weights-Varying Nonlinear MPC via Gradient-Based Policy Learning: An Autonomous Vehicle Guidance Example. IEEE Robotics Autom. Lett. Felix Jahncke, Baha Zarrouki, Mattia Piccinini, Jovin D'sa, David Isele, Sangjae Bae, Johannes Betz
2026	J	`jnl`	IEEE ITSS Best Dissertation Award for 2025 [Its Ph.D.s]. IEEE Intell. Transp. Syst. Mag. Ziran Wang, Walter Zimmer, Xiaoyu Liu, Mattia Piccinini
2026	J	`jnl`	Real-Time Velocity Profile Optimization for Time-Optimal Maneuvering With Generic Acceleration Constraints. IEEE Robotics Autom. Lett. Mattia Piazza, Mattia Piccinini, Sebastiano Taddei, Francesco Biral, Enrico Berolazzi
2026	J	`jnl`	StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving. CoRR Yuan Gao, Dengyuan Hua, Mattia Piccinini, Finn Rasmus Schäfer, Korbinian Möller, Lin Li, Johannes Betz
2025	J	`jnl`	A Quasi-Steady-State Black Box Simulation Approach for the Generation of g-g-g-v Diagrams. CoRR Frederik Werner, Simon Sagmeister, Mattia Piccinini, Johannes Betz
2025	J	`jnl`	Biasing the Driving Style of an Artificial Race Driver for Online Time-Optimal Maneuver Planning. CoRR Sebastiano Taddei, Mattia Piccinini, Francesco Biral
2025	J	`jnl`	Enhancing Physical Consistency in Lightweight World Models. CoRR Dingrui Wang, Zhexiao Sun, Zhouheng Li, Cheng Wang, Youlun Peng, Hongyuan Ye, Baha Zarrouki, Wei Li, Mattia Piccinini, Lei Xie, Johannes Betz
2025	J	`jnl`	Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis. CoRR Yuan Gao, Mattia Piccinini, Yuchen Zhang, Dingrui Wang, Korbinian Möller, Roberto Brusnicki, Baha Zarrouki, Alessio Gambi, Jan Frederik Totz, Kai Storms, Steven Peters, Andrea Stocco, Bassam Alrifaee, Marco Pavone, Johannes Betz
2025	—	`conf`	From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios. ITSC Yuan Gao, Mattia Piccinini, Korbinian Möller, Amr Alanwar, Johannes Betz
2025	A*	`conf`	Kineto-Dynamical Planning and Accurate Execution of Minimum-Time Maneuvers on Three-Dimensional Circuits. ICRA Mattia Piccinini, Sebastiano Taddei, Johannes Betz, Francesco Biral
2025	J	`jnl`	Kineto-Dynamical Planning and Accurate Execution of Minimum-Time Maneuvers on Three-Dimensional Circuits. CoRR Mattia Piccinini, Sebastiano Taddei, Johannes Betz, Francesco Biral
2025	J	`jnl`	Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning. CoRR Korbinian Möller, Roland Stroop, Mattia Piccinini, Alexander Langmann, Johannes Betz
2025	—	`conf`	MP-RBFN: Learning-Based Vehicle Motion Primitives Using Radial Basis Function Networks. ITSC Marc Kaufeld, Mattia Piccinini, Johannes Betz
2025	J	`jnl`	MP-RBFN: Learning-based Vehicle Motion Primitives using Radial Basis Function Networks. CoRR Marc Kaufeld, Mattia Piccinini, Johannes Betz
2025	—	`conf`	Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars. ITSC Mattia Piccinini, Aniello Mungiello, Georg Jank, Gastone Pietro Rosati Papini, Francesco Biral, Johannes Betz
2025	J	`jnl`	Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars. CoRR Mattia Piccinini, Aniello Mungiello, Georg Jank, Gastone Pietro Rosati Papini, Francesco Biral, Johannes Betz
2025	J	`jnl`	NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving. CoRR Yuan Gao, Mattia Piccinini, Roberto Brusnicki, Yuchen Zhang, Johannes Betz
2025	J	`jnl`	Real-time Velocity Profile Optimization for Time-Optimal Maneuvering with Generic Acceleration Constraints. CoRR Mattia Piazza, Mattia Piccinini, Sebastiano Taddei, Francesco Biral, Enrico Bertolazzi
2025	J	`jnl`	Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous Driving. CoRR Alexander Langmann, Yevhenii Tokarev, Mattia Piccinini, Korbinian Möller, Johannes Betz
2025	J	`jnl`	Risk-Aware Driving Scenario Analysis with Large Language Models. CoRR Yuan Gao, Mattia Piccinini, Johannes Betz
2025	J	`jnl`	SAVANT: Semantic Analysis with Vision-Augmented Anomaly deTection. CoRR Roberto Brusnicki, David Pop, Yuan Gao, Mattia Piccinini, Johannes Betz
2025	A	`conf`	Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example. IROS Bei Zhou, Baha Zarrouki, Mattia Piccinini, Cheng Hu, Lei Xie, Johannes Betz
2025	J	`jnl`	Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example. CoRR Bei Zhou, Baha Zarrouki, Mattia Piccinini, Cheng Hu, Lei Xie, Johannes Betz
2025	J	`jnl`	Target-Bench: Can World Models Achieve Mapless Path Planning with Semantic Targets? CoRR Dingrui Wang, Hongyuan Ye, Zhihao Liang, Zhexiao Sun, Zhaowei Lu, Yuchen Zhang, Yuyu Zhao, Yuan Gao, Marvin Seegert, Finn Schäfer, Haotong Qin, Wei Li, Luigi Palmieri, Felix Jahncke, Mattia Piccinini, Johannes Betz
2024	C	`conf`	Reinforcement Learning and Optimal Control: A Hybrid Collision Avoidance Approach. VEHITS Simon Gottschalk, Matthias Gerdts, Mattia Piccinini
2023	J	`jnl`	A Physics-Driven Artificial Agent for Online Time-Optimal Vehicle Motion Planning and Control. IEEE Access Mattia Piccinini, Sebastiano Taddei, Matteo Larcher, Mattia Piazza, Francesco Biral
2023	J	`jnl`	Fast Planning and Tracking of Complex Autonomous Parking Maneuvers With Optimal Control and Pseudo-Neural Networks. IEEE Access Edoardo Pagot, Mattia Piccinini, Enrico Bertolazzi, Francesco Biral
2023	J	`jnl`	Robust and Sample-Efficient Estimation of Vehicle Lateral Velocity Using Neural Networks With Explainable Structure Informed by Kinematic Principles. IEEE Trans. Intell. Transp. Syst. Mauro Da Lio, Mattia Piccinini, Francesco Biral
2020	A	`conf`	Real-time optimal control of an autonomous RC car with minimum-time maneuvers and a novel kineto-dynamical model. IROS Edoardo Pagot, Mattia Piccinini, Francesco Biral