Paolo Cudrano

According to our database, Paolo Cudrano authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Semantic interpretation of raw survey vehicle sensory data for lane-level HD map generation.

Matteo Bellusci, Paolo Cudrano, Simone Mentasti, Riccardo Erminio Filippo Cortelazzo, Matteo Matteucci

Robotics Auton. Syst., February, 2024

The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry.

Paolo Cudrano, Xiaoyu Luo, Matteo Matteucci

CoRR, 2024

OptimusLine: Consistent Road Line Detection Through Time.

Paolo Cudrano, Simone Mentasti, Riccardo Erminio Filippo Cortelazzo, Matteo Matteucci

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline.

Mirko Usuelli, Matteo Frosi, Paolo Cudrano, Simone Mentasti, Matteo Matteucci

Proceedings of the International Joint Conference on Neural Networks, 2024

Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion?

Cristian Sbrolli, Paolo Cudrano, Matteo Matteucci

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Beyond Image-Plane-Level: A Dataset for Validating End-to-End Line Detection Algorithms for Autonomous Vehicles.

Simone Mentasti, Paolo Cudrano, Stefano Arrigoni, Matteo Matteucci, Federico Cheli

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Continual Cross-Dataset Adaptation in Road Surface Classification.

Paolo Cudrano, Matteo Bellusci, Giuseppe Macino, Matteo Matteucci

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Semantic Bird's-Eye View Road Line Mapping.

Matteo Bellusci, Paolo Cudrano, Simone Mentasti, Riccardo Erminio Filippo Cortelazzo, Matteo Matteucci

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

CISPc: Embedding Images and Point Clouds in a Joint Concept Space by Contrastive Learning.

Cristian Sbrolli, Paolo Cudrano, Matteo Matteucci

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

2022

Clothoid-Based Lane-Level High-Definition Maps: Unifying Sensing and Control Models.

Paolo Cudrano, Barbara Gallazzi, Matteo Frosi, Simone Mentasti, Matteo Matteucci

IEEE Veh. Technol. Mag., 2022

IC3D: Image-Conditioned 3D Diffusion for Shape Generation.

Cristian Sbrolli, Paolo Cudrano, Matteo Frosi, Matteo Matteucci

CoRR, 2022

Clothoidal Mapping of Road Line Markings for Autonomous Driving High-Definition Maps.

Barbara Gallazzi, Paolo Cudrano, Matteo Frosi, Simone Mentasti, Matteo Matteucci

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2020

Advances in centerline estimation for autonomous lateral control.

Paolo Cudrano, Simone Mentasti, Matteo Matteucci, Mattia Bersani, Stefano Arrigoni, Federico Cheli

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Robust vehicle pose estimation from vision and INS fusion.

Mattia Bersani, Simone Mentasti, Paolo Cudrano, Michele Vignati, Matteo Matteucci, Federico Cheli

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020