Guodong Du
Orcid: 0000-0001-7011-268XAffiliations:
- ETH Zurich, Institute of Dynamic System and Control, Zürich, Switzerland
- Beijing Collaborative and Innovative Center for Electric Vehicle, Beijing, China (former)
According to our database1,
Guodong Du authored at least 13 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Attention-enhanced physics-informed long short-term memory for roll angle prediction of intelligent vehicle.
Eng. Appl. Artif. Intell., 2026
Bayesian optimization and early stopping improved a deep learning model for autonomous vehicle roll angle estimation.
Displays, 2026
2025
Dependency-Aware Task Offloading Strategy via Heterogeneous Graph Neural Network and Deep Reinforcement Learning.
IEEE Internet Things J., July, 2025
Hierarchical Path Planning and Motion Control Framework Using Adaptive Scale Based Bidirectional Search and Heuristic Learning Based Predictive Control.
IEEE Trans. Veh. Technol., June, 2025
Improved Deep Reinforcement Learning for Efficient Motion Control of Autonomous Vehicle With Domain-Centralized Electronic and Electrical Architecture.
IEEE Internet Things J., June, 2025
Enhancing the Collaborative Decision-Making Performance of Connected and Autonomous Vehicles: A Multi-Modal Failure-Aware Graph Representation Approach.
IEEE Trans. Intell. Transp. Syst., May, 2025
Joint Task Offloading and Resource Allocation for Vehicle Platoon: A Nested Algorithm Based on Stackelberg Game.
IEEE Internet Things J., 2025
2024
Efficient Motion Control for Heterogeneous Autonomous Vehicle Platoon Using Multilayer Predictive Control Framework.
IEEE Internet Things J., December, 2024
Joint Routing and Scheduling Optimization of In-Vehicle Time-Sensitive Networks Based on Improved Grey Wolf Optimizer.
IEEE Internet Things J., February, 2024
Graph Attention Network-Based Deep Reinforcement Learning Scheduling Framework for in-Vehicle Time-Sensitive Networking.
IEEE Trans. Ind. Informatics, 2024
Motion Control of Autonomous Vehicle with Domain-Centralized Electronic and Electrical Architecture based on Predictive Reinforcement Learning Control Method.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
2023
Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control.
IEEE Trans. Intell. Transp. Syst., August, 2023
2020
IEEE Access, 2020