An Interaction-Aware Vehicle Behavior Prediction for Connected Automated Vehicles

Author:

Azadani Mozhgan Nasr1,Boukerche Azzedine1

Affiliation:

1. University of Ottawa,PARADISE Research Laboratory, EECS,Canada

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Novel Transformer-Based Model for Motion Forecasting in Connected Automated Vehicles;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. GMP: Goal-Based Multimodal Motion Prediction for Automated Vehicles;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

3. A Social-Aware Vehicle Path Forecasting Method using Graph Neural Networks;Proceedings of the Int'l ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications;2023-10-30

4. A Novel Multimodal Behavior Prediction Method for Automated Vehicles;Proceedings of the Int'l ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications;2023-10-30

5. Holistic Spatio-Temporal Graph Attention for Trajectory Prediction in Vehicle–Pedestrian Interactions;Sensors;2023-08-23

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