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Study of the effect of different vehicle models on the lap time optimization
This thesis focuses on the study of the influence of different vehicle dynamic models on lap time optimization, with particular attention to how model fidelity affects optimal control solutions and predicted vehicle performance. Lap time optimization is a central topic in motorsport engineering and high-performance vehicle development, where numerical simulation and optimal control techniques are Read more
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Non-linear analysis of powertrain torsional vibration accounting for backlash
This thesis investigates the non-linear torsional vibration behavior of automotive powertrains, explicitly accounting for backlash effects in transmission components. A lumped-parameter dynamic model is developed to represent dead-zone non-linearities, intermittent contact, and impact phenomena. Time- and frequency-domain analyses are performed to study the influence of operating conditions, torque excitation, and system parameters on the dynamic Read more
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Generative AI-Enhanced Sensor Fusion: Robust LiDAR-Radar Inpainting and Restoration in Extreme Weather
Introduction This thesis investigates the application of Generative AI for the intelligent fusion of heterogeneous sensor data. The goal is to develop a Generative AI framework, specifically leveraging Conditional Diffusion Models, for real-time point cloud restoration. The research focuses on using Radar data, which is inherently weather-resilient, as a “semantic and physical prior” to denoise Read more
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Resilient Autonomous Navigation via Generative AI: Virtual Sensor Synthesis for Real-Time Fault Recovery
Introduction What happens when an autonomous vehicle’s camera is covered by mud or a LiDAR module suffers a hardware failure? Currently, the car performs a “safe stop.” This thesis aims to replace this passive safety with Generative AI-driven resilience, creating a system that can “imagine” missing data. Goals The project focuses on building a Virtual Read more
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Optimality assessment of an NMPC-based GLOSA system
Introduction The assessment of solution optimality is a crucial aspect in the design of real-time control strategies for intelligent transportation systems. In the context of Green Light Optimal Speed Advisory (GLOSA), Nonlinear Model Predictive Control (NMPC) is widely adopted due to its ability to handle system constraints and nonlinear vehicle dynamics while operating in real Read more
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Development of a centralized eco-driving system
Introduction Centralized eco-driving systems exploit vehicle-to-infrastructure (V2I) communication to coordinate vehicle speed profiles based on traffic signal and network information. By enabling predictive and cooperative driving, it reduces energy consumption, emissions, and travel time, while improving traffic flow efficiency and driving comfort. Goals This thesis proposes the development of a smart traffic light control system Read more
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Manual-Driving Data Acquisition System for Dataset Creation in Unstructured Private Areas with VRU Interaction
Introduction High-quality datasets are a key enabler for data-driven methods in autonomous driving and mobile robotics. This is particularly true in unstructured environments and private areas (e.g., campuses, industrial sites, private roads), where vehicle behavior and interactions can differ substantially from public-road scenarios. In these contexts, collecting representative data of vehicle operation and VRU (Vulnerable Read more
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Industry-Driven Topics in AV Software, Teleoperation and Fleet Management with Tecnocad Group
Introduction This thesis “umbrella” is developed in interaction with Tecnocad Group, an Italian engineering company operating across mobility sectors and providing end-to-end engineering development from concept to production.Tecnocad Group delivered a guest presentation within the course, outlining several industry-relevant directions that can be shaped into a thesis topic depending on the interests and technical profile Read more
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ADS Safety, Monitoring and Reporting Topics in collaboration with JRC (Ispra)
Introduction The Joint Research Centre (JRC) is the European Commission’s science and knowledge service, providing independent scientific advice and evidence to support EU policymaking. JRC in Ispra (Italy), is one of the European Commission’s major research campuses.This thesis “umbrella” collects potential topics inspired by those lectures, with a focus on safety-oriented analysis for Automated Driving Read more
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Dataset-Driven Robust Ego Localization for Autonomous Vehicles in Challenging Sensing Conditions
Introduction Robust ego-vehicle localization is a core requirement for autonomous driving. In real-world operation, performance can degrade due to adverse weather and non-ideal sensor behavior, such as dropouts, partial failures, miscalibration, or temporal misalignment. This thesis topic focuses on dataset-driven, learning-based approaches to improve localization robustness in multi-sensor settings, with systematic experimental evaluation. Goals This Read more