Pedestrian motion in simulation applications using deep learning

The goal of this paper is to provide a framework for simu-lating pedestrian motion in simulation applications by using real-world examples of human motion. This process has two implications. The first one refers to the reduction of the development time, since a deep learning model can replace the cl...

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Veröffentlicht in:	Proceedings of the 6th International ICSE Workshop on Games and Software Engineering: Engineering Fun, Inspiration, and Motivation S. 1 - 8
Hauptverfasser:	Paduraru, Ciprian, Paduraru, Miruna
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 01.05.2022
Schlagworte:	Correlation Deep learning Games Manuals motion forecasting pedestrians Predictive models Real-time systems Semantics simulation software video games
Online-Zugang:	Volltext
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