Utilizing Human Social Norms for Multimodal Trajectory Forecasting via Group-Based Forecasting Module

Author:

Minoura Hiroaki1ORCID,Hirakawa Tsubasa1ORCID,Sugano Yusuke2ORCID,Yamashita Takayoshi1,Fujiyoshi Hironobu1

Affiliation:

1. Chubu University, Kasugai, Aichi, Japan

2. University of Tokyo, Meguro, Tokyo, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Reference45 articles.

1. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst,0

2. Recursive Social Behavior Graph for Trajectory Prediction

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4. You’ll never walk alone: Modeling social behavior for multi-target tracking;pellegrini;Proc IEEE Conf Int Conf Comput Vis,0

5. The Walking Behaviour of Pedestrian Social Groups and Its Impact on Crowd Dynamics

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4. Likely, Light, and Accurate Context-Free Clusters-based Trajectory Prediction;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

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