Yongqi Dong
Orcid: 0000-0003-1159-9584
According to our database1,
Yongqi Dong
authored at least 16 papers
between 2022 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Towards Understanding Worldwide Cross-cultural Differences in Implicit Driving Cues: Review, Comparative Analysis, and Research Roadmap.
CoRR, 2024
Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction.
CoRR, 2024
2023
Robust Lane Detection Through Self Pre-Training With Masked Sequential Autoencoders and Fine-Tuning With Customized PolyLoss.
IEEE Trans. Intell. Transp. Syst., December, 2023
Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice.
IEEE Trans. Intell. Transp. Syst., June, 2023
Comput. Aided Civ. Infrastructure Eng., January, 2023
Data-driven Semi-supervised Machine Learning with Surrogate Safety Measures for Abnormal Driving Behavior Detection.
CoRR, 2023
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning.
CoRR, 2023
Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning.
CoRR, 2023
Design of the Reverse Logistics System for Medical Waste Recycling Part I: System Architecture, Classification & Monitoring Scheme, and Site Selection Algorithm.
CoRR, 2023
Social-Aware Planning and Control for Automated Vehicles Based on Driving Risk Field and Model Predictive Contouring Control: Driving Through Roundabouts as a Case Study.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Comparative Study on Semi-Supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Safe, Efficient, Comfort, and Energy-Saving Automated Driving Through Roundabout Based on Deep Reinforcement Learning.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Design of the Reverse Logistics System for Medical Waste Recycling Part II: Route Optimization with Case Study under COVID-19 Pandemic.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Design of the Reverse Logistics System for Medical Waste Recycling Part I: System Architecture and Disposal Site Selection Algorithm.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022