Yongqi Dong

According to our database, Yongqi Dong authored at least 14 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Robust Lane Detection Through Self Pre-Training With Masked Sequential Autoencoders and Fine-Tuning With Customized PolyLoss.

Ruohan Li, Yongqi Dong

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.

Haneen Farah, Ivan Postigo, Nagarjun Reddy, Yongqi Dong, Clas Rydergren, Narayana Raju, Johan Janson Olstam

IEEE Trans. Intell. Transp. Syst., June, 2023

A hybrid spatial-temporal deep learning architecture for lane detection.

Yongqi Dong, Sandeep Patil, Bart van Arem, Haneen Farah

Comput. Aided Civ. Infrastructure Eng., January, 2023

Data-driven Semi-supervised Machine Learning with Surrogate Safety Measures for Abnormal Driving Behavior Detection.

Lanxin Zhang, Yongqi Dong, Haneen Farah, Arkady Zgonnikov, Bart van Arem

CoRR, 2023

Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning.

Yongqi Dong, Xingmin Lu, Ruohan Li, Wei Song, Bart van Arem, Haneen Farah

CoRR, 2023

Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning.

Henan Yuan, Penghui Li, Bart van Arem, Liujiang Kang, Yongqi Dong

CoRR, 2023

Design of the Reverse Logistics System for Medical Waste Recycling Part I: System Architecture, Classification & Monitoring Scheme, and Site Selection Algorithm.

Chaozhong Xue, Yongqi Dong, Jiaqi Liu, Yijun Liao, Lingbo Li

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.

Li Zhang, Yongqi Dong, Haneen Farah, Bart van Arem

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.

Yongqi Dong, Kejia Chen, Zhiyuan Ma

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.

Henan Yuan, Penghui Li, Bart van Arem, Liujiang Kang, Haneen Farah, Yongqi Dong

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.

Chaozhong Xue, Yongqi Dong, Jiaqi Liu, Yijun Liao, Lingbo Li

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.

Chaozhong Xue, Yongqi Dong, Jiaqi Liu, Yijun Liao, Lingbo Li

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.

Yongqi Dong, Tobias Datema, Vincent Wassenaar, Joris van de Weg, Cahit Tolga Kopar, Harim Suleman

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.

Yongqi Dong, Kejia Chen, Yinxuan Peng, Zhiyuan Ma

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022