Astral: an autoencoder-based model for pedestrian trajectory prediction of variable-length

Y Diao, Y Su, X Zeng, X Chen, S Liu, H Su - International Conference on …, 2022 - Springer
Predicting pedestrian's future behavior in a crowd plays an important role in many fields.
Such as autonomous driving, machine navigation, video surveillance, and intelligent …

CIRAN: extracting crowd interaction with residual attention network for pedestrian trajectory prediction

S Liu, X Chen, H Chen - International Journal of Machine Learning and …, 2022 - Springer
This paper proposes a new deep learning network based on the spatial attention
mechanism—crowd interaction with residual attention network (CIRAN), which combines the …