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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Vydáno v:	IEEE robotics and automation letters Ročník 5; číslo 2; s. 1695 - 1702
Hlavní autoři:	Scholler, Christoph, Aravantinos, Vincent, Lay, Florian, Knoll, Alois
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
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