Artykuły udostępnione publicznie: - Jiqian DongWięcej informacji
Niedostępne w żadnym miejscu: 6
Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment
J Dong, S Chen, Y Li, R Du, A Steinfeld, S Labi
Transportation Research Part C: Emerging Technologies 128, 103192, 2021
Upoważnienia: US Department of Transportation
Why did the AI make that decision? Towards an explainable artificial intelligence (XAI) for autonomous driving systems
J Dong, S Chen, M Miralinaghi, T Chen, P Li, S Labi
Transportation research part C: emerging technologies 156, 104358, 2023
Upoważnienia: US Department of Transportation
Spatio-weighted information fusion and DRL-based control for connected autonomous vehicles
J Dong, S Chen, Y Li, PYJ Ha, R Du, A Steinfeld, S Labi
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
Upoważnienia: US Department of Transportation
Image transformer for explainable autonomous driving system
J Dong, S Chen, S Zong, T Chen, S Labi
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
Upoważnienia: US Department of Transportation
A cooperative crash avoidance framework for autonomous vehicle under collision-imminent situations in mixed traffic stream
R Du, S Chen, Y Li, PYJ Ha, J Dong, PC Anastasopoulos, S Labi
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
Upoważnienia: US Department of Transportation
Leveraging vehicle connectivity and autonomy for highway bottleneck congestion mitigation using reinforcement learning
P Ha, S Chen, J Dong, S Labi
Transportmetrica A: Transport Science, 1-26, 2023
Upoważnienia: US Department of Transportation
Dostępne w jakimś miejscu: 9
Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles
S Chen, J Dong, P Ha, Y Li, S Labi
Computer‐Aided Civil and Infrastructure Engineering 36 (7), 838-857, 2021
Upoważnienia: US Department of Transportation
Vehicle connectivity and automation: A sibling relationship
P Ha, S Chen, R Du, J Dong, Y Li, S Labi
Frontiers in Built Environment 6, 590036, 2020
Upoważnienia: US Department of Transportation
Development and testing of an image transformer for explainable autonomous driving systems
J Dong, S Chen, M Miralinaghi, T Chen, S Labi
Journal of Intelligent and Connected Vehicles 5 (3), 235-249, 2022
Upoważnienia: US Department of Transportation
GAQ-EBkSP: a DRL-based urban traffic dynamic rerouting framework using fog-cloud architecture
R Du, S Chen, J Dong, PYJ Ha, S Labi
2021 IEEE International Smart Cities Conference (ISC2), 1-7, 2021
Upoważnienia: US Department of Transportation
Large network multi-level control for CAV and Smart Infrastructure: AI-based Fog-Cloud collaboration
R Du, PYJ Ha, J Dong, S Chen, S Labi
Upoważnienia: US Department of Transportation
Updating Cost Allocation and Revenue Attribution
IC Mwamba, D Benny, AP John, DO Holguin Mejia, D Song, J Sabu, ...
Joint Transportation Research Program, 2024
Upoważnienia: US Department of Transportation
Using Virtual Reality Techniques to Investigating Interactions Between Fully Autonomous Vehicles and Vulnerable Road Users
AP John, J Sabu, J Dong, Y Li, S Chen, S Labi
Center for Connected and Automated Transportation. Purdue University, 2023
Upoważnienia: US Department of Transportation
Promoting CAV Deployment by Enhancing the Perception Phase of the Autonomous Driving Using Explainable AI
J Dong, S Chen, S Labi
Upoważnienia: US Department of Transportation
Development of AI-based and control-based systems for safe and efficient operations of connected and autonomous vehicles
J Dong, R Du, PYJ Ha, S Chen, S Labi
Upoważnienia: US Department of Transportation
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