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Dela:

Thanh Bui

Tel

+46 10 228 40 31

Email

thanh.bui@ri.se

Location

Göteborg

ORCID

0000-0002-5537-6430

Thanh Hai Bui is a senior researcher in the Human Centered AI unit at RISE. He earned his Ph.D. in Media Technology from Linköping University, focused on pattern recognition algorithms for perception signals. His current research interests include smart and sustainable mobility, system of systems design, trustworthi AI, behaviour modelling, sociotechnical modelling, and trust-based human AI interactions

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Synergies - Scenarios for development of automated vehicles

The project goal is to enable development, training, virtual testing and scalable scenario-based validation of CCAM systems by providing a European Scenario Dataspace. Expected results are open datasets from different sources, bes…

SMILE IV

SMILE IV - Safety analysis and verification/validation of MachIne LEarning based systems Autonomous vehicles heavily rely on deep learning (DL) algorithms to function effectively. Nevertheless, it is still an open research questio…

Robust Automated Driving in Extreme Weather

ROADVIEW is a four-year project on road vehicles in adverse weather, partly funded by the European Commission.

MIDAS - anonyMIsing DAta collection for traffic Safety

MIDAS aims to solve the problem of anonymity regarding video data collected in real traffic environments. MIDAS develops machine learning algorithms to replace sensitive information in images, so that they can be saved for future …

Verification and validation of automated systems’ safety and security

The VALU3S project aimed to evaluate the state-of-the-art verification and validation (V&V) methods and tools for automated systems in automotive industry, agriculture, railway, healthcare, aerospace and industrial automation …

SEBRA - SEnsor for Bicycle’s impRoved Awareness

SEBRA is a collaborative project between RISE, Aptiv and Liri that develops concept and technology solutions for a radar-based safety system for bicyclists. The goal is to improve awareness for bicyclists, improve coordination bet…

Computer vision

Image analysis is a key technology for understanding and solving complex problems in various domains. At RISE, we conduct cutting-edge research in this field using artificial intelligence methods. We apply our knowledge and skills…

Behaviour Modelling

A paradigm shift within the transport system is here. Historically the human driver has been responsible for both the car and the driving. As machines are introduced, they will take over the responsibility of interpreting the sur…

Driver modelling

A paradigm shift within the transport system is at our doorstep. Transport is becoming commodity and vehicle automation and servification are the enablers. As the role of the driver changes from actively driving, to passively ridi…

Publications

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