Yongqi Dong

According to our database, Yongqi Dong authored at least 23 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Latent World Models for Automated Driving: A Unified Taxonomy, Evaluation Framework, and Open Challenges.

Rongxiang Zeng, Yongqi Dong

CoRR, March, 2026

Efficient Sequential Neural Network with Spatial-Temporal Attention and Linear LSTM for Robust Lane Detection Using Multi-Frame Images.

Sandeep Patil, Yongqi Dong, Haneen Farah, Hans Hellendoorn

CoRR, February, 2026

Measuring the State of Open Science in Transportation Using Large Language Models.

Junyi Ji, Ruth Lu, Linda Belkessa, Liming Wang, Silvia Varotto, Yongqi Dong, Nicolas Saunier, Mostafa Ameli, Gregory S. Macfarlane, Bahman Madadi, Cathy Wu

CoRR, January, 2026

2025

Parking Availability Prediction via Fusing Multi-Source Data with A Self-Supervised Learning Enhanced Spatio-Temporal Inverted Transformer.

Yin Huang, Yongqi Dong, Youhua Tang, Li Li

CoRR, September, 2025

Towards Developing Socially Compliant Automated Vehicles: State of the Art, Experts Expectations, and A Conceptual Framework.

Yongqi Dong, Bart van Arem, Haneen Farah

CoRR, January, 2025

A Self-Supervised Transformer for Unusable Shared Bike Detection.

Yin Huang, Yongqi Dong, Youhua Tang, Alvaro García Hernandez

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

2024

Understanding cyclists' perception of driverless vehicles through eye-tracking and interviews.

Siri Hegna Berge, Joost C. F. de Winter, Dimitra Dodou, Amir Pooyan Afghari, Eleonora Papadimitriou, Nagarjun Reddy, Yongqi Dong, Narayana Raju, Haneen Farah

CoRR, 2024

Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction.

Yin Huang, Yongqi Dong, Youhua Tang, Li Li

CoRR, 2024

Towards Understanding Worldwide Cross-Cultural Differences in Implicit Driving Cues: Review, Comparative Analysis, and Research Roadmap.

Yongqi Dong, Chang Liu, Yiyun Wang, Zhe Fu

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

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 26th 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 26th 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 26th 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 26th 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