Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior-Reference-Cited by-同舟云学术

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Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior

Published:2021 Issue: Volume: Page:1-14
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Chandra Rohan^ORCID,Bera Aniket^ORCID,Manocha Dinesh^ORCID

Funder

ARO

U.S. Army

Semiconductor Research Corporation SRC and Intel

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/09646493.pdf?arnumber=9646493

Cited by 10 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

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2. Social Interaction‐Aware Dynamical Models and Decision‐Making for Autonomous Vehicles;Advanced Intelligent Systems;2023-12

3. GPS Data for Behaviour Style Prediction in Driving Using Optimized AI Model;2023 International Conference on Data Science and Network Security (ICDSNS);2023-07-28

4. Viewpoint Invariant 3D Driver Body Pose-Based Activity Recognition;2023 IEEE Intelligent Vehicles Symposium (IV);2023-06-04

5. Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios;IEEE Transactions on Intelligent Vehicles;2023-03

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