What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction

Pedestrian motion prediction is a fundamental task for autonomous robots and vehicles to operate safely. In recent years many complex approaches based on neural networks have been proposed to address this problem. In this work we show that - surprisingly - a simple Constant Velocity Model can outper...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 5; H. 2; S. 1695 - 1702
Hauptverfasser:	Scholler, Christoph, Aravantinos, Vincent, Lay, Florian, Knoll, Alois
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	deep learning in robotics and automation Gallium nitride History Motion and path planning Neural networks Pedestrians Predictive models Tracking Training Trajectory
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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