SIF-STGDAN: A Social Interaction Force Spatial-Temporal Graph Dynamic Attention Network for Decision-Making of Connected and Autonomous Vehicles-Reference-Cited by-同舟云学术

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SIF-STGDAN: A Social Interaction Force Spatial-Temporal Graph Dynamic Attention Network for Decision-Making of Connected and Autonomous Vehicles

Published:2024-06-02 Issue: Volume:23 Page:376-383
ISSN:
Container-title:2024 IEEE Intelligent Vehicles Symposium (IV)
language:
Short-container-title:

Author:

Liu Qi¹,Tang Yujie²,Li Xueyuan¹,Yang Fan¹,Gao Xin¹,Li Zirui³

Affiliation:

1. Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China

2. Dalhousie University,Faculty of Computer Science,Halifax,Canada

3. TU Dresden,Chair of Traffic Process Automation, "Friedrich List" Faculty of Transport and Traffic Sciences,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587320/10588370/10588390.pdf?arnumber=10588390

Reference42 articles.

1. Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario*

2. CommonRoad: Composable benchmarks for motion planning on roads

3. Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

4. A Discrete Soft Actor-Critic Decision-Making Strategy With Sample Filter for Freeway Autonomous Driving

5. Analyzing the impact of automated vehicles on uncertainty and stability of the mixed traffic flow

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