Towards explainable motion prediction using heterogeneous graph representations-Reference-Cited by-同舟云学术

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Towards explainable motion prediction using heterogeneous graph representations

Published:2023-12 Issue: Volume:157 Page:104405
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Carrasco Limeros Sandra^ORCID,Majchrowska Sylwia^ORCID,Johnander Joakim^ORCID,Petersson Christoffer,Fernández Llorca David^ORCID

Funder

Ministerio de Ciencia e Innovación

Spain Ministry of Science and Innovation

European Commission

European Commission Joint Research Centre

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference65 articles.

1. Injecting knowledge in data-driven vehicle trajectory predictors;Bahari;Transp. Res. C,2021

2. Bahari, Mohammadhossein, Saadatnejad, Saeed, Rahimi, Ahmad, Shaverdikondori, Mohammad, Shahidzadeh, Amir-Hossein, Moosavi-Dezfooli, Seyed-Mohsen, Alahi, Alexandre, 2022. Vehicle trajectory prediction works, but not everywhere. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR.

3. Explainability techniques for graph convolutional networks;Baldassarre,2019

4. Caesar, Holger, Bankiti, Varun, Lang, Alex H., Vora, Sourabh, Liong, Venice Erin, Xu, Qiang, Krishnan, Anush, Pan, Yu, Baldan, Giancarlo, Beijbom, Oscar, 2020. nuScenes: A multimodal dataset for autonomous driving. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR. pp. 11621–11631.

5. Carrasco, S., Llorca, D. Fernández, Sotelo, M. A., 2021. SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network for Trajectory Prediction of Vehicles and VRUs. In: 2021 IEEE Intelligent Vehicles Symposium, IV. pp. 1501–1508.

Cited by 2 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. Interaction-Aware and Hierarchically-Explainable Heterogeneous Graph-based Imitation Learning for Autonomous Driving Simulation;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

2. Multimodal Vehicle Trajectory Prediction Based on Intention Inference with Lane Graph Representation;2023

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