An Advanced Framework Incorporating Social Interaction Factors for Predicting the Crossing Trajectory of Multiple Pedestrians at Midblock Crosswalks

Author:

Zhou Zhuping,Yuan Changji,Tang Ruiyao

Publisher

Elsevier BV

Reference21 articles.

1. Decoding pedestrian and automated vehicle int eractions using immersive virtual reality and interpretable deep learning;A Kalatian;Transp. Res. C,2021

2. Learning the Pedestrian-Vehicle Interaction for Pedestrian Trajectory Prediction;C Zhang;2022 8th International Conference on Control, Automation and Robotics (ICCAR),2022

3. A Data-Driven Model for Pedestrian Behavior Classifi cation and Trajectory Prediction;V Papathanasopoulou;IEEE Open Journal of Intelligent Tran sportation Systems,2022

4. Will the pedestrian cross? A study on pedestrian path prediction;C G Keller;IEEE Transactions on Intelligent Transpo rtation Systems,2014

5. Pedestrian path prediction with recursive Bayesian filters: a comparative study;N Schneider;Proceedings of the 35th German Conference on Pattern Recognition,2013

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