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ORCIDMattia Piccinini
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2020 – today
- 2026
[j7]Ziran Wang
, Walter Zimmer, Xiaoyu Liu, Mattia Piccinini:
IEEE ITSS Best Dissertation Award for 2025 [Its Ph.D.s]. IEEE Intell. Transp. Syst. Mag. 18(2): 99-114 (2026)- [j6]Mattia Piazza, Mattia Piccinini, Sebastiano Taddei, Francesco Biral, Enrico Berolazzi:
Real-Time Velocity Profile Optimization for Time-Optimal Maneuvering With Generic Acceleration Constraints. IEEE Robotics Autom. Lett. 11(2): 1674-1681 (2026) - [j5]Felix Jahncke, Baha Zarrouki, Mattia Piccinini, Jovin D'sa, David Isele, Sangjae Bae, Johannes Betz:
Differentiable Weights-Varying Nonlinear MPC via Gradient-Based Policy Learning: An Autonomous Vehicle Guidance Example. IEEE Robotics Autom. Lett. 11(3): 3724-3731 (2026) - [j4]Mattia Piazza, Alexander Langmann, Francesco Biral, Johannes Betz, Mattia Piccinini:
Beyond the Apex: Online Minimum-Time Velocity Planning on Three-Dimensional Paths With Variable Friction. IEEE Robotics Autom. Lett. 11(8): 10034-10041 (2026) - [i21]Yuan Gao, Dengyuan Hua, Mattia Piccinini, Finn Rasmus Schäfer, Korbinian Möller, Lin Li, Johannes Betz:
StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving. CoRR abs/2603.09482 (2026) - [i20]Roberto Brusnicki, Mattia Piccinini, Johannes Betz:
How Well Do Vision-Language Models Understand Sequential Driving Scenes? A Sensitivity Study. CoRR abs/2604.06750 (2026) - [i19]Finn Rasmus Schäfer, Yuan Gao, Dingrui Wang, Thomas Stauner, Stephan Günnemann, Mattia Piccinini, Sebastian Schmidt, Johannes Betz:
EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving. CoRR abs/2604.22851 (2026) - [i18]Mattia Piccinini, Patrick Zambiasi, Aniello Mungiello, Mattia Piazza, Felix Jahncke, Johannnes Betz:
Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform. CoRR abs/2605.19881 (2026) - [i17]Georg Jank, Mattia Piccinini, Sebastian Wenk, Phillip Pitschi, Johannes Betz, Boris Lohmann:
Benchmarking Empirical and Learning-Based Approaches for Feedforward Steering Control in Autonomous Racing. CoRR abs/2605.21111 (2026) - [i16]Dingrui Wang, YuAn Wang, Jinkun Liu, Yue Zhang, Mattia Piccinini, Yu Sun, Johannes Betz:
Unified Video-Action Joint Denoising for Dexterous Action and Data Generation. CoRR abs/2606.03868 (2026) - 2025
- [c9]Mattia Piccinini, Sebastiano Taddei, Johannes Betz, Francesco Biral:
Kineto-Dynamical Planning and Accurate Execution of Minimum-Time Maneuvers on Three-Dimensional Circuits. ICRA 2025: 1-7 - [c8]Bei Zhou, Baha Zarrouki, Mattia Piccinini, Cheng Hu, Lei Xie, Johannes Betz:
Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example. IROS 2025: 4196-4203 - [c7]Marc Kaufeld, Mattia Piccinini, Johannes Betz:
MP-RBFN: Learning-Based Vehicle Motion Primitives Using Radial Basis Function Networks. ITSC 2025: 1262-1269 - [c6]Yuan Gao, Mattia Piccinini, Korbinian Möller, Amr Alanwar, Johannes Betz:
From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios. ITSC 2025: 2134-2141 - [c5]Mattia Piccinini, Aniello Mungiello, Georg Jank, Gastone Pietro Rosati Papini, Francesco Biral, Johannes Betz:
Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars. ITSC 2025: 4129-4136 - [c4]Sebastiano Taddei, Mattia Piccinini, Francesco Biral:
Biasing the Driving Style of an Artificial Race Driver for Online Time-Optimal Maneuver Planning*. IV 2025: 640-647 - [c3]Frederik Werner, Simon Sagmeister, Mattia Piccinini, Johannes Betz:
A Quasi-Steady-State Black Box Simulation Approach for the Generation of g-g-g-v Diagrams. IV 2025: 2503-2509 - [i15]Yuan Gao, Mattia Piccinini, Johannes Betz:
Risk-Aware Driving Scenario Analysis with Large Language Models. CoRR abs/2502.02145 (2025) - [i14]Mattia Piccinini, Sebastiano Taddei, Johannes Betz, Francesco Biral:
Kineto-Dynamical Planning and Accurate Execution of Minimum-Time Maneuvers on Three-Dimensional Circuits. CoRR abs/2502.03454 (2025) - [i13]Frederik Werner, Simon Sagmeister, Mattia Piccinini, Johannes Betz:
A Quasi-Steady-State Black Box Simulation Approach for the Generation of g-g-g-v Diagrams. CoRR abs/2504.10225 (2025) - [i12]Sebastiano Taddei, Mattia Piccinini, Francesco Biral:
Biasing the Driving Style of an Artificial Race Driver for Online Time-Optimal Maneuver Planning. CoRR abs/2504.12744 (2025) - [i11]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:
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis. CoRR abs/2506.11526 (2025) - [i10]Bei Zhou, Baha Zarrouki, Mattia Piccinini, Cheng Hu, Lei Xie, Johannes Betz:
Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example. CoRR abs/2506.22894 (2025) - [i9]Marc Kaufeld, Mattia Piccinini, Johannes Betz:
MP-RBFN: Learning-based Vehicle Motion Primitives using Radial Basis Function Networks. CoRR abs/2507.10047 (2025) - [i8]Mattia Piccinini, Aniello Mungiello, Georg Jank, Gastone Pietro Rosati Papini, Francesco Biral, Johannes Betz:
Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars. CoRR abs/2507.20427 (2025) - [i7]Dingrui Wang, Zhexiao Sun, Zhouheng Li, Cheng Wang, Youlun Peng, Hongyuan Ye, Baha Zarrouki, Wei Li, Mattia Piccinini, Lei Xie, Johannes Betz:
Enhancing Physical Consistency in Lightweight World Models. CoRR abs/2509.12437 (2025) - [i6]Korbinian Möller, Roland Stroop, Mattia Piccinini, Alexander Langmann, Johannes Betz:
Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning. CoRR abs/2509.24313 (2025) - [i5]Yuan Gao, Mattia Piccinini, Roberto Brusnicki, Yuchen Zhang, Johannes Betz:
NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving. CoRR abs/2509.25944 (2025) - [i4]Mattia Piazza, Mattia Piccinini, Sebastiano Taddei, Francesco Biral, Enrico Bertolazzi:
Real-time Velocity Profile Optimization for Time-Optimal Maneuvering with Generic Acceleration Constraints. CoRR abs/2509.26428 (2025) - [i3]Alexander Langmann, Yevhenii Tokarev, Mattia Piccinini, Korbinian Möller, Johannes Betz:
Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous Driving. CoRR abs/2510.10567 (2025) - [i2]Roberto Brusnicki, David Pop, Yuan Gao, Mattia Piccinini, Johannes Betz:
SAVANT: Semantic Analysis with Vision-Augmented Anomaly deTection. CoRR abs/2510.18034 (2025) - [i1]Dingrui Wang, Hongyuan Ye, Zhihao Liang, Zhexiao Sun, Zhaowei Lu, Yuchen Zhang, Yuyu Zhao, Yuan Gao, Marvin Seegert, Finn Rasmus Schäfer, Haotong Qin, Wei Li, Luigi Palmieri, Felix Jahncke, Mattia Piccinini, Johannes Betz:
Target-Bench: Can World Models Achieve Mapless Path Planning with Semantic Targets? CoRR abs/2511.17792 (2025) - 2024
- [c2]Simon Gottschalk, Matthias Gerdts, Mattia Piccinini:
Reinforcement Learning and Optimal Control: A Hybrid Collision Avoidance Approach. VEHITS 2024: 76-87 - 2023
- [j3]Mattia Piccinini, Sebastiano Taddei, Matteo Larcher, Mattia Piazza, Francesco Biral:
A Physics-Driven Artificial Agent for Online Time-Optimal Vehicle Motion Planning and Control. IEEE Access 11: 46344-46372 (2023) - [j2]Edoardo Pagot, Mattia Piccinini, Enrico Bertolazzi, Francesco Biral:
Fast Planning and Tracking of Complex Autonomous Parking Maneuvers With Optimal Control and Pseudo-Neural Networks. IEEE Access 11: 124163-124180 (2023) - [j1]Mauro Da Lio, Mattia Piccinini, Francesco Biral:
Robust and Sample-Efficient Estimation of Vehicle Lateral Velocity Using Neural Networks With Explainable Structure Informed by Kinematic Principles. IEEE Trans. Intell. Transp. Syst. 24(12): 13670-13684 (2023) - 2020
- [c1]Edoardo Pagot, Mattia Piccinini, Francesco Biral:
Real-time optimal control of an autonomous RC car with minimum-time maneuvers and a novel kineto-dynamical model. IROS 2020: 2390-2396
Coauthor Index
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