Road

This thesis aims to develop a structured methodology for evaluating the performance of Level 2 lane-centring systems. The research will define objective metrics for lateral deviation, steering smoothness, stability under varying curvature, and robustness to degraded lane markings or environmental disturbances. Both simulation-based and experimental validation approaches will be considered to ensure repeatability and regulatory compliance. The framework will enable quantitative benchmarking of system accuracy and comfort performance. The thesis will be conducted in cooperation with a car manufacturer, ensuring validation against production-level ADAS systems and alignment with industrial testing protocols. Read more

This thesis addresses accurate vehicle trajectory reconstruction at low speeds in GNSS-denied environments such as parking structures or indoor facilities. Pure IMU integration suffers from drift caused by bias accumulation and sensor noise. The research proposes combining IMU-based odometry with a kinematic steering model (e.g., bicycle model) to constrain vehicle motion and reduce estimation errors. The work will involve state estimation algorithms (e.g., Kalman filtering), bias modelling, and performance validation in low-dynamics scenarios. Drift reduction and accuracy improvements will be quantitatively assessed. The thesis will be carried out in cooperation with a car manufacturer, providing experimental data and validation frameworks. Read more

This thesis evaluates the potential integration of commercial or innovative supercapacitors into BEV or PHEV architectures to enhance propulsion performance, regenerative braking efficiency, and/or reduce system weight. The research will include system-level modelling of hybrid battery–supercapacitor configurations, energy flow simulations, and performance trade-off analysis. Particular attention will be paid to packaging constraints, thermal implications, cost-benefit evaluation, and control strategy optimization. The goal is to quantify whether supercapacitor integration can improve power density while reducing battery stress. The thesis will be conducted in cooperation with a car manufacturer, ensuring industrial relevance and access to real powertrain configurations. Read more

The objective of this thesis is to reconstruct vehicle trajectories during cornering manoeuvres using wide-view lateral cameras. By applying geometric transformations and image merging techniques, a top-view representation of the driven line will be generated. The system will allow overlaying multiple passes on the same corner to analyse consistency and performance differences, particularly in track applications. The research will address perspective correction, trajectory alignment, and robustness against motion distortions. The methodology will be validated using experimental data. The thesis will be developed in cooperation with a car manufacturer, enabling validation on real track datasets. Read more

This thesis focuses on developing computer vision algorithms capable of extracting tyre-related information from lateral onboard vehicle cameras. By analysing visible tread patterns, the system aims to classify tyre type (e.g., summer, winter, performance) and estimate wear level under real driving conditions. The research will involve image preprocessing, deep learning classification models, robustness evaluation under varying lighting and motion conditions, and real-time feasibility analysis. The work will be conducted in cooperation with a car manufacturer, providing real vehicle camera datasets. Read more

This thesis investigates the feasibility of replacing traditional rule-based vehicle software with an embedded AI agent capable of managing component-level vehicle functions. Instead of deterministic logic, the AI system would be trained to reproduce expected behaviours of actuators such as wipers, convertible roof systems, lighting, or other basic functions. The research will address training strategies, real-time execution constraints, safety validation, explainability, and cybersecurity implications. The goal is to assess whether AI-based function orchestration can achieve robustness and reliability comparable to conventional software architectures. The thesis will be carried out in collaboration with a car manufacturer, ensuring alignment with automotive software… Read more

The objective is to review and apply advanced simulation techniques for predicting squeak and rattle phenomena in interior trim components. The research will investigate nonlinear contact modelling, friction-induced vibration, multibody dynamics, and finite element methods. Validation will compare simulation outputs with experimental vibration data. The thesis will be conducted in cooperation with a car manufacturer, addressing real-world NVH challenges. Read more

This research aims to identify and evaluate commercially available or near-commercial trim materials with negative carbon impact suitable for automotive interiors. The study will assess mechanical properties, durability, fire safety, cost competitiveness, manufacturability, and lifecycle environmental impact through comparative analysis with traditional materials. The thesis will be carried out in cooperation with a car manufacturer, aligning sustainability goals with industrial feasibility. Read more

The objective of this thesis is to design and dimension a phase-change-material-to-coolant heat exchanger for thermal regulation of automotive printed circuit boards operating under transient loads. The work will involve analytical modelling, CFD simulations, transient heat transfer analysis, material selection, and integration studies within vehicle cooling loops. The aim is to enhance thermal stability while minimizing weight and packaging volume. The thesis will be conducted in cooperation with a car manufacturer, ensuring industrial applicability. Read more

This thesis investigates passive and active strategies to mitigate thermal runaway propagation in lithium-ion battery packs for automotive applications. The research will include thermal modelling, material barrier analysis, active cooling countermeasures, gas venting systems, and integration considerations within battery modules. Safety standards, regulatory frameworks, and validation procedures will also be considered. The thesis will be performed in collaboration with an automotive manufacturer, providing industrial test data and safety validation context. Read more

This research focuses on reducing rare-earth magnet content in automotive electric motors while preserving torque density, efficiency, and overall performance. The thesis will explore alternative rotor topologies, flux concentration strategies, advanced control algorithms, and electromagnetic optimization through finite element analysis. Thermal and mechanical implications of magnet reduction will also be evaluated. The work will be conducted in cooperation with a car manufacturer, ensuring relevance to industrial production constraints and cost-reduction strategies. Read more

This thesis explores the feasibility of replacing wired connections to ADAS cameras with secure wireless transmission of both power and high-bandwidth data streams (including CAN and raw video). The research will investigate wireless power transfer technologies, electromagnetic compatibility, signal integrity, cybersecurity requirements, and functional safety compliance under automotive standards. System-level modelling will evaluate efficiency, reliability, and interference risks. The thesis will be carried out in collaboration with an automotive manufacturer, allowing evaluation against real vehicle architectures and safety requirements. Read more

The objective of this thesis is to investigate alternative antenna integration concepts that eliminate current windshield-mounted antennas located near ADAS cameras. The research will explore electromagnetic compatibility, signal propagation modelling, packaging constraints, and regulatory compliance aspects. The work will assess performance trade-offs between signal strength, sensor visibility, structural integration, and vehicle design requirements. Prototypes or virtual integration models may be developed to evaluate feasibility and performance impact. The thesis will be conducted in cooperation with a car manufacturer, providing access to vehicle architecture data and real-world integration constraints. Read more

This thesis aims to systematically explore innovative alternatives to conventional automotive cooling systems. The thesis will include a structured state-of-the-art review of emerging thermal management technologies such as immersion cooling, two-phase cooling, and high-performance heat exchangers. The study will evaluate technological feasibility, thermal performance, scalability, packaging constraints, sustainability implications, and cost competitiveness. A comparative framework will be developed to assess readiness levels and integration potential in future vehicle platforms. The thesis will be performed in cooperation with an automotive manufacturer, ensuring alignment with industrial constraints and strategic technology scouting objectives. Read more

The purpose of this thesis is to design and train an algorithm capable of extracting detailed road surface profiles from 3D LiDAR point cloud data. The research will investigate advanced filtering techniques, surface reconstruction methods, and machine learning models to accurately detect road irregularities such as bumps, potholes, and uneven surfaces. The reconstructed road profile can be used to enhance chassis control systems, predictive suspension tuning, and ride comfort optimization, as well as to support advanced driver-assistance validation. The work will involve both simulation and experimental datasets, with validation under different road and environmental conditions. The thesis will be conducted… Read more

This thesis aims to develop predictive models capable of anticipating customer driving and charging behaviour based on large-scale fleet telematics data. By leveraging machine learning techniques and statistical analysis, the research will extract meaningful patterns from historical usage data, including trip frequency, parking duration, charging cycles, environmental conditions, and driving styles. The objective is to enable predictive battery charge management strategies that optimize energy efficiency, minimize battery degradation, and enhance user convenience while ensuring vehicle readiness. Particular attention will be paid to model robustness and integration into real-time energy management systems. The thesis will be carried out in cooperation with… Read more