CoL-GAN: Plausible and Collision-Less Trajectory Prediction by Attention-Based GAN

CoL-GAN: Plausible and Collision-Less Trajectory Prediction by Attention-Based GAN

Predicting plausible and collisionless trajectories is critical in various applications, such as robotic navigation and autonomous driving. This is a challenging task due to two major factors. First, it is difficult for deep neural networks to understand how pedestrians move to avoid collisions and...

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Bibliographic Details
Main Authors: Shaohua Liu, Haibo Liu, Huikun Bi, Tianlu Mao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Trajectory prediction
generative adversarial network
deep learning
Online Access:https://ieeexplore.ieee.org/document/9063432/

Internet

https://ieeexplore.ieee.org/document/9063432/

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