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Yongqi Dong
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2020 – today
- 2024
- [i13]Yin Huang, Yongqi Dong
, Youhua Tang, Li Li:
Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction. CoRR abs/2405.01055 (2024) - [i12]Yongqi Dong
Towards Understanding Worldwide Cross-cultural Differences in Implicit Driving Cues: Review, Comparative Analysis, and Research Roadmap. CoRR abs/2405.01119 (2024) - [i11]Siri Hegna Berge, Joost C. F. de Winter, Dimitra Dodou, Amir Pooyan Afghari, Eleonora Papadimitriou, Nagarjun Reddy, Yongqi Dong, Narayana Raju, Haneen Farah:
Understanding cyclists' perception of driverless vehicles through eye-tracking and interviews. CoRR abs/2408.10064 (2024) - 2023
- [j3]Yongqi Dong
A hybrid spatial-temporal deep learning architecture for lane detection. Comput. Aided Civ. Infrastructure Eng. 38(1): 67-86 (2023) - [j2]Haneen Farah
Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice. IEEE Trans. Intell. Transp. Syst. 24(6): 6558-6574 (2023) - [j1]Ruohan Li
Robust Lane Detection Through Self Pre-Training With Masked Sequential Autoencoders and Fine-Tuning With Customized PolyLoss. IEEE Trans. Intell. Transp. Syst. 24(12): 14121-14132 (2023) - [c7]Chaozhong Xue, Yongqi Dong
Design of the Reverse Logistics System for Medical Waste Recycling Part I: System Architecture and Disposal Site Selection Algorithm. ITSC 2023: 1741-1746 - [c6]Chaozhong Xue, Yongqi Dong
Design of the Reverse Logistics System for Medical Waste Recycling Part II: Route Optimization with Case Study under COVID-19 Pandemic. ITSC 2023: 4011-4017 - [c5]Henan Yuan, Penghui Li, Bart van Arem
Safe, Efficient, Comfort, and Energy-Saving Automated Driving Through Roundabout Based on Deep Reinforcement Learning. ITSC 2023: 6074-6079 - [c4]Yongqi Dong
Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers. ITSC 2023: 6165-6170 - [c3]Yongqi Dong
Comparative Study on Semi-Supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System. SMC 2023: 1702-1708 - [c2]Li Zhang, Yongqi Dong
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. SMC 2023: 3297-3304 - [i10]Chaozhong Xue, Yongqi Dong, Jiaqi Liu, Yijun Liao, Lingbo Li:
Design of the Reverse Logistics System for Medical Waste Recycling Part I: System Architecture, Classification & Monitoring Scheme, and Site Selection Algorithm. CoRR abs/2302.04961 (2023) - [i9]Ruohan Li, Yongqi Dong
Robust Lane Detection through Self Pre-training with Masked Sequential Autoencoders and Fine-tuning with Customized PolyLoss. CoRR abs/2305.17271 (2023) - [i8]Chaozhong Xue, Yongqi Dong, Jiaqi Liu, Yijun Liao, Lingbo Li:
Design of the Reverse Logistics System for Medical Waste Recycling Part II: Route Optimization with Case Study under COVID-19 Pandemic. CoRR abs/2305.18807 (2023) - [i7]Yongqi Dong, Kejia Chen, Zhiyuan Ma:
Comparative Study on Semi-supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System. CoRR abs/2306.02709 (2023) - [i6]Henan Yuan, Penghui Li, Bart van Arem, Liujiang Kang, Yongqi Dong:
Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning. CoRR abs/2306.11465 (2023) - [i5]Yongqi Dong
Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers. CoRR abs/2306.11466 (2023) - [i4]Yongqi Dong
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning. CoRR abs/2312.04398 (2023) - [i3]Lanxin Zhang, Yongqi Dong
Data-driven Semi-supervised Machine Learning with Surrogate Safety Measures for Abnormal Driving Behavior Detection. CoRR abs/2312.04610 (2023) - 2022
- [c1]Yongqi Dong
Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network. ITSC 2022: 2914-2919 - [i2]Yongqi Dong
Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network. CoRR abs/2207.10286 (2022) - 2021
- [i1]Yongqi Dong, Sandeep Patil, Bart van Arem, Haneen Farah:
A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection. CoRR abs/2110.04079 (2021)
Coauthor Index
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