Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Understanding human motion behavior is critical for autonomous moving platforms (like self-driving cars and social robots) if they are to navigate human-centric environments. This is challenging because human motion is inherently multimodal: given a history of human motion paths, there are many soci...

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Vydané v:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition s. 2255 - 2264
Hlavní autori:	Gupta, Agrim, Johnson, Justin, Fei-Fei, Li, Savarese, Silvio, Alahi, Alexandre
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2018
Predmet:	Computational modeling Decoding Gallium nitride Generators History Predictive models Trajectory
ISSN:	1063-6919
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