Mattia Piccinini
Orcid: 0000-0003-0457-8777
According to our database1,
Mattia Piccinini authored at least 28 papers
between 2020 and 2026.
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Bibliography
2026
EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving.
CoRR, April, 2026
How Well Do Vision-Language Models Understand Sequential Driving Scenes? A Sensitivity Study.
CoRR, April, 2026
Differentiable Weights-Varying Nonlinear MPC via Gradient-Based Policy Learning: An Autonomous Vehicle Guidance Example.
IEEE Robotics Autom. Lett., March, 2026
CoRR, March, 2026
Real-Time Velocity Profile Optimization for Time-Optimal Maneuvering With Generic Acceleration Constraints.
IEEE Robotics Autom. Lett., February, 2026
IEEE Intell. Transp. Syst. Mag., 2026
2025
CoRR, November, 2025
CoRR, October, 2025
Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous Driving.
CoRR, October, 2025
Real-time Velocity Profile Optimization for Time-Optimal Maneuvering with Generic Acceleration Constraints.
CoRR, September, 2025
NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving.
CoRR, September, 2025
Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning.
CoRR, September, 2025
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis.
CoRR, June, 2025
Biasing the Driving Style of an Artificial Race Driver for Online Time-Optimal Maneuver Planning.
CoRR, April, 2025
CoRR, February, 2025
A Quasi-Steady-State Black Box Simulation Approach for the Generation of g-g-g-v Diagrams.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025
Biasing the Driving Style of an Artificial Race Driver for Online Time-Optimal Maneuver Planning<sup>*</sup>.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025
Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
MP-RBFN: Learning-Based Vehicle Motion Primitives Using Radial Basis Function Networks.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025
Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025
Kineto-Dynamical Planning and Accurate Execution of Minimum-Time Maneuvers on Three-Dimensional Circuits.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025
2024
Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems, 2024
2023
Robust and Sample-Efficient Estimation of Vehicle Lateral Velocity Using Neural Networks With Explainable Structure Informed by Kinematic Principles.
IEEE Trans. Intell. Transp. Syst., December, 2023
A Physics-Driven Artificial Agent for Online Time-Optimal Vehicle Motion Planning and Control.
IEEE Access, 2023
Fast Planning and Tracking of Complex Autonomous Parking Maneuvers With Optimal Control and Pseudo-Neural Networks.
IEEE Access, 2023
2020
Real-time optimal control of an autonomous RC car with minimum-time maneuvers and a novel kineto-dynamical model.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020