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ORCIDLuca Lazzaroni
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Publications
- 2026
[j9]Luca Lazzaroni
, Riccardo Berta, Vafali Soltanmuradov, David Martín Gómez, Francesco Bellotti:
StabilEdge, Formal Verification of Edge AI Applications. IEEE Access 14: 37416-37434 (2026)- [j8]Hadise Rojhan, Francesco Bellotti, Matteo Fresta, Luca Lazzaroni, Riccardo Berta:
Usability, Technicality, Interoperability (UTI), a Comprehensive Assessment Framework for Digital Platforms. IEEE Access 14: 44886-44903 (2026) - [j7]Luca Forneris, Riccardo Berta, Matteo Fresta, Luca Lazzaroni, Hadise Rojhan, Changjae Oh, Alessandro Pighetti, Hadi Ballout, Fabio Tango, Francesco Bellotti:
A Deployment-Oriented Simulation Framework for Deep Learning-Based Lane Change Prediction. IEEE Signal Process. Lett. 33: 136-140 (2026) - [j6]Ammar Saad, Riccardo Berta, Matteo Fresta, Luca Lazzaroni, Alessandro Pighetti, Ossama Srour, Fabio Tango, Francesco Bellotti:
FPGA Deployment of Extremely Quantized Models for Time-to-Lane-Change Prediction. IEEE Trans. Circuits Syst. II Express Briefs 73(8): 888-892 (2026) - [e1]Massimo Ruo Roch, Andrés Gómez, Luca Lazzaroni, Maurizio Martina, Paolo Motto Ros, Nuria Pazos Escudero, Riccardo Berta:
Applications in Electronics Pervading Industry, Environment and Society - APPLEPIES 2025, Turin, Italy, September 11-12, 2025. Lecture Notes in Electrical Engineering 1553, Springer 2026, ISBN 978-3-032-17173-3 [contents] - 2025
- [j5]Matteo Fresta, Francesco Bellotti, Igor Bochenko, Luca Lazzaroni, Gaëtan Merlhiot, Fabio Tango, Riccardo Berta:
Deep Learning-Based Real-Time Driver Cognitive Distraction Detection. IEEE Access 13: 26589-26607 (2025) - [c41]Danoush Faryar, Riccardo Berta, Matteo Fresta, Ammar Saad, Luca Lazzaroni, Hadi Ballout, Ossama Srour, Francesco Bellotti:
Lightweight Deep Learning for SOC Estimation of Various Lithium-Ion Batteries on Xilinx ZCU104 FPGA. ApplePies 2025: 25-31 - [c40]Ali Zare, Francesco Bellotti, Riccardo Berta, Luca Lazzaroni, Luca Forneris, Alessandro Pighetti:
A CARLA Parking Environment for Training Deep-Reinforcement Learning Agents. ApplePies 2025: 79-84 - [c39]Alessandro Pighetti, Francesco Bellotti, Sepehr Mohammady, Luca Lazzaroni, Hadi Ballout, Riccardo Berta:
Exploring Neural Architecture Search (NAS) for Binary Neural Networks (BNNs) in the New WakeVision. ApplePies 2025: 85-90 - [c38]Sina Gholami Fashkhami, Riccardo Berta, Alessandro Pighetti, Matteo Fresta, Luca Lazzaroni, Hadi Ballout, Hadise Rojhan, Francesco Bellotti:
A Dual Branch Quantized Neural Network for Road Surface Classification Using Smartphone Sensors. ApplePies 2025: 183-190 - [c37]Om lbaneen Audi, Francesco Bellotti, Riccardo Berta, Ziquan Liu, Luca Lazzaroni, Alessandro Pilla, Hadise Rojhan, Luca Forneris:
Improving Lane Change Performance in CARLA Through Curvature-Adaptive B-Spline Planning. ApplePies 2025: 212-217 - [c36]Hadise Rojhan, Francesco Bellotti, Luca Lazzaroni, Matteo Fresta, Luca Forneris, Alessandro Pighetti, Riccardo Berta:
Managing Performance Indicator (PI) Forms Through a State-of-the-Art Big Data Platform. ApplePies 2025: 218-223 - [c35]Leonardo Motta, Francesco Bellotti, Riccardo Berta, Luca Lazzaroni, Matteo Fresta, Nicolò Busi:
Modeling Power Electronics in Simulink. A Tutorial for MSc Electronic Engineering Students. ApplePies 2025: 242-248 - [c34]Emanuele Castagno, Francesco Bellotti, Riccardo Berta, Luca Lazzaroni, Matteo Fresta, Simone Incerti:
A Collaborative GitHub Framework for Project-Driven Learning in Microcontroller-Based Embedded Systems. ApplePies 2025: 249-254 - [c33]Luca Lazzaroni, Francesco Bellotti, Alessandro Pighetti, Ammar Saad, Ossama Srour, Riccardo Berta:
Embedded Deployment of an LLM-Based Voice Assistant. ApplePies 2025: 273-278 - [c32]Vafali Soltanmuradov, Francesco Bellotti, Riccardo Berta, David Martín Gómez, Luca Lazzaroni:
Comparing Complete and Incomplete Formal Verification in Deep Learning-Based Object Detection. ApplePies 2025: 286-291 - [c31]Hadi Ballout, Riccardo Berta, Luca Lazzaroni, Fouad Sakr, Alessandro Pighetti, Matteo Fresta, Francesco Bellotti:
Optimizing Binary AutoEncoders on STM32 Microcontrollers. ApplePies 2025: 301-307 - [c30]Ammar Saad, Francesco Bellotti, Hadi Ballout, Matteo Fresta, Luca Lazzaroni, Ossama Srour, Riccardo Berta:
Resource-Adaptive FPGA-Based Kernels for Accelerating Self-attention in Transformers. ApplePies 2025: 321-327 - [c29]Ali Dabbous, Luca Lazzaroni, Fouad Sakr, Riccardo Berta, Matteo Fresta, Francesco Bellotti:
Binary Neural Networks for Real-Time Structural Health Monitoring on Edge Devices. ICCE 2025: 1-4 - [d2]Luca Forneris, Riccardo Berta, Matteo Fresta, Luca Lazzaroni, Hadise Rojhan, Changjae Oh, Alessandro Pighetti, Fabio Tango, Francesco Bellotti:
Lane Change Intention Recognition Dataset. Zenodo, 2025
- [d1]Marianna Cossu, Riccardo Berta, Luca Lazzaroni, Luca Forneris, Matteo Fresta, Alessandro Pighetti, Alessandro Pilla, Jean-Louis Sauvaget, Hind Touil, Laurent Durville, Thibault Griffon, Ghada Ben Nejma, Fouad Hadj-Selem, Francesco Bellotti:
Synthetic Highway Driving Scenarios Dataset. Zenodo, 2025 - 2024
- [j4]Luca Lazzaroni, Francesco Bellotti, Riccardo Berta:
An embedded end-to-end voice assistant. Eng. Appl. Artif. Intell. 136: 108998 (2024) - [c28]Luca Forneris, Francesco Bellotti, Riccardo Berta, Luca Lazzaroni, Changjae Oh:
Exploring Decision Transformer for Highway Automated Driving. ApplePies 2024: 123-130 - [c27]Francesco Bellotti, Riccardo Berta, Vafali Soltanmuradov, David Martín Gómez, Akshay Dhonthi, Vahid Hashemi, Luca Lazzaroni:
Robustness Verification of a Reinforcement Learning-Based Agent for Automated Car Parking. ApplePies 2024: 139-147 - [c26]Luca Forneris, Francesco Bellotti, Riccardo Berta, Marianna Cossu, Matteo Fresta, Raziye Rezaieamale, Hadise Rojhan, Vafali Soltanmuradov, Fabio Tango, Luca Lazzaroni:
Setting Up a Lightweight Simulation Environment for Automated Driving Dataset Collection. ApplePies 2024: 156-163 - [c25]Ali Dabbous, Riccardo Berta, Luca Lazzaroni, Alessandro Pighetti, Francesco Bellotti:
Benchmarking Microcontrollers with Ultra-Low Resolution Images Classification. ApplePies 2024: 234-241 - [c24]Hadi Ballout, Riccardo Berta, Ali Dabbous, Matteo Fresta, Luca Lazzaroni, Alessandro Pighetti, Francesco Bellotti:
Performance Comparison of YOLOv8 and YOLOv10 for Traffic Light Detection on a Jetson Nano Board. ApplePies 2024: 242-249 - [c23]Marianna Cossu, Riccardo Berta, Mohammad Ali Bagheri Orumi, Luca Lazzaroni, Jean-Louis Sauvaget, Hind Touil, Francesco Bellotti:
Comparing Detection-Based and Motion-Based Preprocessing of Video Frames for Automated Driving Scenario Detection. ApplePies 2024: 250-257 - [c22]Alessio Capello, Riccardo Berta, Matteo Fresta, Luca Lazzaroni, Francesco Bellotti:
Leveraging Neural Architecture Search for Structural Health Monitoring on Resource-Constrained Devices. ApplePies 2024: 323-330 - [c21]Luca Lazzaroni, Ali Dabbous, Matteo Nardello, Muath Abu Lebdeh, Riccardo Berta, Kasim Sinan Yildirim, Francesco Bellotti, Davide Brunelli:
Green Machine Learning for the IoT (GEMINI): A Position Paper. ApplePies 2024: 339-346 - [c20]Hadi Ballout, Riccardo Berta, Igor Bochenko, Luca Lazzaroni, Akshay Dhonthi, Vahid Hashemi, Francesco Bellotti:
Runtime Input Monitoring of a Reinforcement Learning-Based Agent for Automated Car Parking. ApplePies 2024: 387-394 - [c19]Riccardo Berta, Francesco Bellotti, Marianna Cossu, Luca Forneris, Luca Lazzaroni, Alessandro Pighetti:
RL-Based Generation of a Synthetic Automotive Driving Scenario Dataset. ApplePies 2024: 395-402 - [c18]Luca Lazzaroni, Francesco Bellotti, Ali Dabbous, Alessandro Pighetti, Riccardo Berta:
Quantization of MobileNetV2 for Resource-Constrained Microcontrollers. ApplePies 2024: 497-504 - 2023
- [j3]Francesco Bellotti, Luca Lazzaroni, Alessio Capello, Marianna Cossu, Alessandro De Gloria, Riccardo Berta:
Explaining a Deep Reinforcement Learning (DRL)-Based Automated Driving Agent in Highway Simulations. IEEE Access 11: 28522-28550 (2023) - [j2]Luca Forneris, Alessandro Pighetti, Luca Lazzaroni, Francesco Bellotti, Alessio Capello, Marianna Cossu, Riccardo Berta:
Implementing Deep Reinforcement Learning (DRL)-based Driving Styles for Non-Player Vehicles. Int. J. Serious Games 10(4): 153-170 (2023) - [c17]Alessandro Pighetti, Francesco Bellotti, Changjae Oh, Luca Lazzaroni, Luca Forneris, Matteo Fresta, Riccardo Berta:
Investigating Adversarial Policy Learning for Robust Agents in Automated Driving Highway Simulations. ApplePies 2023: 124-129 - [c16]Luca Lazzaroni, Alessandro Pighetti, Francesco Bellotti, Alessio Capello, Marianna Cossu, Riccardo Berta:
Automated Parking in CARLA: A Deep Reinforcement Learning-Based Approach. ApplePies 2023: 352-357 - [c15]Marianna Cossu, Riccardo Berta, Luca Forneris, Matteo Fresta, Luca Lazzaroni, Jean-Louis Sauvaget, Francesco Bellotti:
YoloP-Based Pre-processing for Driving Scenario Detection. ApplePies 2023: 418-423 - [c14]Matteo Fresta, Ali Dabbous, Francesco Bellotti, Alessio Capello, Luca Lazzaroni, Alessandro Pighetti, Riccardo Berta:
Low-Cost, Edge-Cloud, End-to-End System Architecture for Human Activity Data Collection. ApplePies 2023: 444-449 - [c13]Fahad Ahmed, Riccardo Berta, Francesco Bellotti, Federica Floris, Luca Lazzaroni, Giacinto Barresi, Jesús Requena-Carrión:
Application of a Serious Game for Emotion Elicitation Under Socio-Economic and Trust Based Decision-Making Scenarios for Autistic Adolescents. GALA 2023: 170-180 - [c12]Matteo Fresta, Alessio Capello, Francesco Bellotti, Luca Lazzaroni, Marianna Cossu, Riccardo Berta:
Supporting a .csv-based Workflow in MongoDB for Data Analysts. ISIE 2023: 1-4 - 2022
- [j1]Riccardo Berta, Francesco Bellotti, Alessandro De Gloria, Luca Lazzaroni:
Assessing Versatility of a Generic End-to-End Platform for IoT Ecosystem Applications. Sensors 22(3): 713 (2022) - [c11]Matteo Fresta, Francesco Bellotti, Alessio Capello, Marianna Cossu, Luca Lazzaroni, Alessandro De Gloria, Riccardo Berta:
Efficient Uploading of.Csv Datasets into a Non-Relational Database Management System. ApplePies 2022: 9-15 - [c10]Luca Lazzaroni, Francesco Bellotti, Alessio Capello, Marianna Cossu, Alessandro De Gloria, Riccardo Berta:
Deep Reinforcement Learning for Automated Car Parking. ApplePies 2022: 125-130 - [c9]Marianna Cossu, Riccardo Berta, Alessio Capello, Alessandro De Gloria, Luca Lazzaroni, Francesco Bellotti:
Developing a Toolchain for Synthetic Driving Scenario Datasets. ApplePies 2022: 222-228 - [c8]Alessio Capello, Luca Forneris, Alessandro Pighetti, Francesco Bellotti, Luca Lazzaroni, Marianna Cossu, Alessandro De Gloria, Riccardo Berta:
Investigating High-Level Decision Making for Automated Driving. ApplePies 2022: 307-311 - [c7]Fahad Ahmed, Jesús Requena-Carrión, Francesco Bellotti, Luca Lazzaroni, Giacinto Barresi, Riccardo Berta:
A Serious Game for Using Socio-Economic and Trust Based Decision-Making Scenarios for Elicitation of Emotional Responses. GALA 2022: 43-52 - [c6]Alessandro Pighetti, Luca Forneris, Luca Lazzaroni, Francesco Bellotti, Alessio Capello, Marianna Cossu, Alessandro De Gloria, Riccardo Berta:
High-Level Decision-Making Non-player Vehicles. GALA 2022: 223-233 - 2021
- [c5]Marianna Cossu, Jorge Leonardo Quimi Villon, Francesco Bellotti, Alessio Capello, Alessandro De Gloria, Luca Lazzaroni, Riccardo Berta:
Classifying Simulated Driving Scenarios from Automated Cars. ApplePies 2021: 229-235 - [c4]Jacopo Motta, Francesco Bellotti, Riccardo Berta, Alessio Capello, Marianna Cossu, Alessandro De Gloria, Luca Lazzaroni, Stefano Bonora:
Developing a Synthetic Dataset for Driving Scenarios. ApplePies 2021: 310-316 - [c3]Gabriele Campodonico, Francesco Bellotti, Riccardo Berta, Alessio Capello, Marianna Cossu, Alessandro De Gloria, Luca Lazzaroni, Tommaso Taccioli, Federico Davio:
Adapting Autonomous Agents for Automotive Driving Games. GALA 2021: 101-110 - 2020
- [c2]Riccardo Berta, Andrea Mazzara, Francesco Bellotti, Alessandro De Gloria, Luca Lazzaroni:
Edgine, A Runtime System for IoT Edge Applications. ApplePies 2020: 261-266 - [c1]Luca Lazzaroni, Andrea Mazzara, Francesco Bellotti, Alessandro De Gloria, Riccardo Berta:
Employing an IoT Framework as a Generic Serious Games Analytics Engine. GALA 2020: 79-88
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