Thanh Bui Tel +46 10 228 40 31 Email thanh.bui@ri.se Location Göteborg ORCID 0000-0002-5537-6430 Ask me about Publications Ask me about Project 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… Project 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… Project Safe and explainable critical embedded systems based on AI SAFEXPLAIN addresses the challenges of DL-based solution certification by (i) designing explainable DL solutions and (ii) designing FUSA security patterns for different DL usage levels Project Robust Automated Driving in Extreme Weather ROADVIEW is a four-year project on road vehicles in adverse weather, partly funded by the European Commission. Project Digital Decision Support for Refurbishment (2DSR) Decision-making in the circular economy can be challenging due to reverse logistics and lack of readily available data. The 2DSR project will build a decision support system (DSS) for actors in the furniture sector. The machine le… Project 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 … Project 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… Expertise 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… Expertise 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… Expertise 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 SAFEXPLAIN : Safe and Explainable Critical Embedded Systems Based on AI Ergo, SMIRK is safe : a safety case for a machine learning component in a pedes… Data Driven Traffic Management Policy Designing HMIs for an active safety system on bicycles In-vehicle Driver and Passenger Activity Recognition See all DIVA publications
