Micaela Verucchi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Object Detection

Autonomous Vehicles

Top Venues

IEEE Robotics Autom. Lett.

J. Field Robotics

Publications

Alessandro Toschi, Nicola Musiu, Francesco Gatti, Ayoub Raji, Francesco Amerotti, Micaela Verucchi, Marko Bertogna
Guess the Drift with LOP-UKF: LiDAR Odometry and Pacejka Model for Real-Time Racecar Sideslip Estimation. IV (2024)
Alessandro Toschi, Nicola Musiu, Francesco Gatti, Ayoub Raji, Francesco Amerotti, Micaela Verucchi, Marko Bertogna
Guess the Drift with LOP-UKF: LiDAR Odometry and Pacejka Model for Real-Time Racecar Sideslip Estimation. CoRR (2024)
Elena Govi, Davide Sapienza, Carmelo Scribano, Tobia Poppi, Giorgia Franchini, Paola Ardón, Micaela Verucchi, Marko Bertogna
Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation. CoRR (2023)
Ayoub Raji, Danilo Caporale, Francesco Gatti, Andrea Giove, Micaela Verucchi, Davide Malatesta, Nicola Musiu, Alessandro Toschi, Silviu Roberto Popitanu, Fabio Bagni, Massimiliano Bosi, Alexander Liniger, Marko Bertogna, Daniele Morra, Francesco Amerotti, Luca Bartoli, Federico Martello, Riccardo Porta
er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds. CoRR (2023)
Davide Sapienza, Elena Govi, Sara Aldhaheri, Giorgia Franchini, Marko Bertogna, Eloy Roura, Èric Pairet, Micaela Verucchi, Paola Ardón
Model-Based Underwater 6D Pose Estimation from RGB. CoRR (2023)
Davide Sapienza, Elena Govi, Sara Aldhaheri, Marko Bertogna, Eloy Roura, Èric Pairet, Micaela Verucchi, Paola Ardón
Model-Based Underwater 6D Pose Estimation From RGB. IEEE Robotics Autom. Lett. 8 (11) (2023)
Micaela Verucchi, Ignacio Sañudo Olmedo, Marko Bertogna
A survey on real-time DAG scheduling, revisiting the Global-Partitioned Infinity War. Real Time Syst. 59 (3) (2023)
Marco Legittimo, Simone Felicioni, Fabio Bagni, Andrea Tagliavini, Alberto Dionigi, Francesco Gatti, Micaela Verucchi, Gabriele Costante, Marko Bertogna
A benchmark analysis of data-driven and geometric approaches for robot ego-motion estimation. J. Field Robotics 40 (3) (2023)
Roberto Cavicchioli, Riccardo Martoglia, Micaela Verucchi
A Novel Real-Time Edge-Cloud Big Data Management and Analytics Framework for Smart Cities. J. Univers. Comput. Sci. 28 (1) (2022)
Ayoub Raji, Alexander Liniger, Andrea Giove, Alessandro Toschi, Nicola Musiu, Daniele Morra, Micaela Verucchi, Danilo Caporale, Marko Bertogna
Motion Planning and Control for Multi Vehicle Autonomous Racing at High Speeds. ITSC (2022)
Giorgia Franchini, Micaela Verucchi, Ambra Catozzi, Federica Porta, Marco Prato
Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network. Algorithms 15 (10) (2022)
Ayoub Raji, Alexander Liniger, Andrea Giove, Alessandro Toschi, Nicola Musiu, Daniele Morra, Micaela Verucchi, Danilo Caporale, Marko Bertogna
Motion Planning and Control for Multi Vehicle Autonomous Racing at High Speeds. CoRR (2022)
Carmelo Scribano, Davide Sapienza, Giorgia Franchini, Micaela Verucchi, Marko Bertogna
All You Can Embed: Natural Language based Vehicle Retrieval with Spatio-Temporal Transformers. CoRR (2021)
Ayoosh Bansal, Jayati Singh, Micaela Verucchi, Marco Caccamo, Lui Sha
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles. MECO (2021)
Carmelo Scribano, Davide Sapienza, Giorgia Franchini, Micaela Verucchi, Marko Bertogna
All You Can Embed: Natural Language Based Vehicle Retrieval With Spatio-Temporal Transformers. CVPR Workshops (2021)
Ayoosh Bansal, Jayati Singh, Micaela Verucchi, Marco Caccamo, Lui Sha
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles. CoRR (2021)
Micaela Verucchi, Mirco Theile, Marco Caccamo, Marko Bertogna
Latency-Aware Generation of Single-Rate DAGs from Multi-Rate Task Sets. RTAS (2020)
Micaela Verucchi, Luca Bartoli, Fabio Bagni, Francesco Gatti, Paolo Burgio, Marko Bertogna
Real-Time clustering and LiDAR-camera fusion on embedded platforms for self-driving cars. IRC (2020)
Micaela Verucchi, Gianluca Brilli, Davide Sapienza, Mattia Verasani, Marco Arena, Francesco Gatti, Alessandro Capotondi, Roberto Cavicchioli, Marko Bertogna, Marco Solieri
A Systematic Assessment of Embedded Neural Networks for Object Detection. ETFA (2020)
Giorgia Franchini, Mathilde Galinier, Micaela Verucchi
Mise en abyme with artificial intelligence: how to predict the accuracy of NN, applied to hyper-parameter tuning. CoRR (2019)
Giorgia Franchini, Mathilde Galinier, Micaela Verucchi
Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning. INNSBDDL (2019)