Luca Paparusso

According to our database, Luca Paparusso authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Super Agents and Confounders: Influence of surrounding agents on vehicle trajectory prediction.

Daniel Jost, Luca Paparusso, Martin Stoll, Jörg Wagner, Raghu Rajan, Joschka Bödecker

CoRR, April, 2026

Adapting Reinforcement Learning for Path Planning in Constrained Parking Scenarios.

Tao Feng, Luca Paparusso, Chenyi Gu, Robin Koehler, Chenxu Wu, Xinyu Huang, Christian Juette, David Paz, Ren Liu

CoRR, January, 2026

2024

RobustStateNet: Robust ego vehicle state estimation for Autonomous Driving.

Pragyan Dahal, Simone Mentasti, Luca Paparusso, Stefano Arrigoni, Francesco Braghin

Robotics Auton. Syst., February, 2024

ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics.

Luca Paparusso, Shreyas Kousik, Edward Schmerling, Francesco Braghin, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Competitors-Aware Stochastic Lap Strategy Optimisation for Race Hybrid Vehicles.

Luca Paparusso, Manuel Riani, Fabio Ruggeri, Francesco Braghin

IEEE Trans. Veh. Technol., March, 2023

Fault Resistant Odometry Estimation using Message Passing Neural Network.

Pragyan Dahal, Simone Mentasti, Luca Paparusso, Stefano Arrigoni, Francesco Braghin

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2021

A Deep-Learning Framework to Predict the Dynamics of a Human-Driven Vehicle Based on the Road Geometry.

Luca Paparusso, Stefano Melzi, Francesco Braghin

CoRR, 2021

2020

A Disturbance-Aware Trajectory Planning Scheme Based on Model Predictive Control.

Luca Paparusso, Navvab Kashiri, Nikos G. Tsagarakis

IEEE Robotics Autom. Lett., 2020