Fei Gao
Orcid: 0000-0001-9020-6720Affiliations:
- Jilin University, State Key Laboratory of Automotive Simulation and Control, Changchun, China
According to our database1,
Fei Gao
authored at least 31 papers
between 2018 and 2025.
Collaborative distances:
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Bibliography
2025
Safe Multi-Agent Deep Reinforcement Learning for the Management of Autonomous Connected Vehicles at Future Intersections.
IEEE Trans. Parallel Distributed Syst., August, 2025
Multimodal Trajectory Prediction Coupled With Ego Vehicle Motion Trend Under Target Anchor-Driven Graph Attention Network.
IEEE Internet Things J., June, 2025
DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy.
CoRR, May, 2025
Constrained Reinforcement-Learning-Enabled Policies With Augmented Lagrangian for Cooperative Intersection Management.
IEEE Internet Things J., March, 2025
CoRR, February, 2025
Road Surface Friction Estimation Based on LiDAR Reflectivity for Intelligent Vehicle.
IEEE Trans. Instrum. Meas., 2025
Centralized cooperative control for autonomous vehicles at unsignalized all-directional intersections: A multi-agent projection-based constrained policy optimization approach.
Expert Syst. Appl., 2025
2024
Centralized Cooperation for Connected Autonomous Vehicles at Intersections by Safe Deep Reinforcement Learning.
IEEE Trans. Mob. Comput., December, 2024
A Survey on Recent Advancements in Autonomous Driving Using Deep Reinforcement Learning: Applications, Challenges, and Solutions.
IEEE Trans. Intell. Transp. Syst., December, 2024
Sensors, October, 2024
Constraint-Guided Behavior Transformer for Centralized Coordination of Connected and Automated Vehicles at Intersections.
Sensors, August, 2024
Intelligent Cockpits for Connected Vehicles: Taxonomy, Architecture, Interaction Technologies, and Future Directions.
Sensors, August, 2024
Sensors, July, 2024
Towards Robust Decision-Making for Autonomous Highway Driving Based on Safe Reinforcement Learning.
Sensors, July, 2024
Multi-Agent Constrained Policy Optimization for Conflict-Free Management of Connected Autonomous Vehicles at Unsignalized Intersections.
IEEE Trans. Intell. Transp. Syst., June, 2024
Sensors, April, 2024
Goal-Guided Graph Attention Network with Interactive State Refinement for Multi-Agent Trajectory Prediction.
Sensors, April, 2024
Human-like mechanism deep learning model for longitudinal motion control of autonomous vehicles.
Eng. Appl. Artif. Intell., 2024
Leveraging Monte Carlo Dropout for Uncertainty Quantification in Real-Time Object Detection of Autonomous Vehicles.
IEEE Access, 2024
An Enhanced Vehicle Trajectory Prediction Model Leveraging LSTM and Social-Attention Mechanisms.
IEEE Access, 2024
Constraints Driven Safe Reinforcement Learning for Autonomous Driving Decision-Making.
IEEE Access, 2024
Collision Risk Assessment for Intelligent Vehicles Considering Multi-Dimensional Uncertainties.
IEEE Access, 2024
2023
Online Safety Verification of Autonomous Driving Decision-Making Based on Dynamic Reachability Analysis.
IEEE Access, 2023
2021
IEEE Trans. Instrum. Meas., 2021
A Brain-Inspired Decision-Making Linear Neural Network and Its Application in Automatic Drive.
Sensors, 2021
Lane changing assistance strategy based on an improved probabilistic model of dynamic occupancy grids.
Frontiers Inf. Technol. Electron. Eng., 2021
2020
Driver's Preview Modeling Based on Visual Characteristics through Actual Vehicle Tests.
Sensors, 2020
Quantitative Evaluation of Vehicle Seat Driving Comfort During Short and Long Term Driving.
IEEE Access, 2020
Proceedings of the Design, Operation and Evaluation of Mobile Communications, 2020
2018
A Biosignal Based Driving Experience Analysis for Curved Road: An Initial Implementation.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018