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Found 5 papers, 0 papers with code
Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings
Predicting gap selection behavior and the use of zebra crossing enables driving systems to proactively respond and prevent potential conflicts.
Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling
Digital transformation in the built environment generates vast data for developing data-driven models to optimize building operations.
A Digitalization Framework for Smart Maintenance of Historic Buildings
Overall, this thesis contributes to the field of preservation of historic buildings by proposing a comprehensive digitalization framework that integrates various advanced digital technologies to provide a holistic approach to achieve smart maintenance of historic buildings.
Leveraging Deep Learning and Digital Twins to Improve Energy Performance of Buildings
Digital transformation in buildings accumulates massive operational data, which calls for smart solutions to utilize these data to improve energy performance.
Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings
Predicting pedestrian behavior when interacting with vehicles is one of the most critical challenges in the field of automated driving.
