Picture for Yongqi Dong

Yongqi Dong

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

Add code
May 02, 2024
Viaarxiv icon

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

Add code
Dec 07, 2023
Viaarxiv icon

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

Add code
Dec 07, 2023
Viaarxiv icon

Comparative Study on Semi-supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System

Add code
Jun 20, 2023
Figure 1 for Comparative Study on Semi-supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System
Figure 2 for Comparative Study on Semi-supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System
Figure 3 for Comparative Study on Semi-supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System
Figure 4 for Comparative Study on Semi-supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System
Viaarxiv icon

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

Add code
Jun 20, 2023
Figure 1 for Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning
Figure 2 for Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning
Figure 3 for Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning
Figure 4 for Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning
Viaarxiv icon

Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers

Add code
Jun 20, 2023
Figure 1 for Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers
Figure 2 for Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers
Figure 3 for Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers
Figure 4 for Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers
Viaarxiv icon

Robust Lane Detection through Self Pre-training with Masked Sequential Autoencoders and Fine-tuning with Customized PolyLoss

Add code
May 26, 2023
Figure 1 for Robust Lane Detection through Self Pre-training with Masked Sequential Autoencoders and Fine-tuning with Customized PolyLoss
Figure 2 for Robust Lane Detection through Self Pre-training with Masked Sequential Autoencoders and Fine-tuning with Customized PolyLoss
Figure 3 for Robust Lane Detection through Self Pre-training with Masked Sequential Autoencoders and Fine-tuning with Customized PolyLoss
Figure 4 for Robust Lane Detection through Self Pre-training with Masked Sequential Autoencoders and Fine-tuning with Customized PolyLoss
Viaarxiv icon

Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network

Add code
Jul 21, 2022
Figure 1 for Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network
Figure 2 for Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network
Figure 3 for Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network
Figure 4 for Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network
Viaarxiv icon

A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection

Add code
Oct 14, 2021
Figure 1 for A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection
Figure 2 for A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection
Figure 3 for A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection
Figure 4 for A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection
Viaarxiv icon