2 citations · 4 across the 6 of their papers we have counts for
6 papers
GTA: Generative Traffic Agents for Simulating Realistic Mobility Behavior
Simon Lämmer, Mark Colley, Patrick Ebel
People's transportation choices reflect complex trade-offs shaped by personal preferences, social norms, and technology acceptance. Predicting such behavior at scale is a critical…
SHRUG-FM: Reliability-Aware Foundation Models for Earth Observation
Maria Gonzalez-Calabuig, Kai-Hendrik Cohrs, Vishal Nedungadi +7
Geospatial foundation models (GFMs) for Earth observation often fail to perform reliably in environments underrepresented during pretraining. We introduce SHRUG-FM, a framework for…
Predicting Multitasking in Manual and Automated Driving with Optimal Supervisory Control
Jussi Jokinen, Patrick Ebel, Tuomo Kujala
Modern driving involves interactive technologies that can divert attention, increasing the risk of accidents. This paper presents a computational cognitive model that simulates hum…
Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting
Brandon Victor, Mathilde Letard, Peter Naylor +4
Floods are among the most common and devastating natural hazards, imposing immense costs on our society and economy due to their disastrous consequences. Recent progress in weather…
Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting
Patrick Ebel, Brandon Victor, Peter Naylor +3
Hurricanes and coastal floods are among the most disastrous natural hazards. Both are intimately related to storm surges, as their causes and effects, respectively. However, the sh…
Generative AI and Attentive User Interfaces: Five Strategies to Enhance Take-Over Quality in Automated Driving
Patrick Ebel
As the automotive world moves toward higher levels of driving automation, Level 3 automated driving represents a critical juncture. In Level 3 driving, vehicles can drive alone und…