Search Results for author: Samuel S. Sohn

Found 3 papers, 1 papers with code

Laying the Foundations of Deep Long-Term Crowd Flow Prediction

1 code implementation ECCV 2020 Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

Predicting the crowd behavior in complex environments is a key requirement for crowd and disaster management, architectural design, and urban planning.

Deep Crowd-Flow Prediction in Built Environments

no code implementations13 Oct 2019 Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

In this paper, we propose an approach to instantly predict the long-term flow of crowds in arbitrarily large, realistic environments.

Cognitive Agent Based Simulation Model For Improving Disaster Response Procedures

no code implementations2 Oct 2019 Rohit K. Dubey, Samuel S. Sohn, Christoph Hoelscher, Mubbasir Kapadia

In this paper, we propose an agent-based simulation tool, which is grounded in human cognition and decision-making, for evaluating and improving the effectiveness of building evacuation procedures and guidance systems during a disaster.

Decision Making Decision Making Under Uncertainty +1

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