11 citations · 21 across the 5 of their papers we have counts for
6 papers
TerrainForge: Physics-Grounded Road Geometry Editing for Counterfactual Autonomous Driving
Yang Chen, Yicheng Zhu, zhenning Li +2
Road geometry (e.g., crests, sags, and speed humps) and surface conditions (e.g., wet or icy pavement) affect how vehicles move, what drivers and onboard cameras observe, and how m…
Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning
Tao Li, Zilin Bian, Haozhe Lei +5
In urban traffic management, the primary challenge of dynamically and efficiently monitoring traffic conditions is compounded by the insufficient utilization of thousands of survei…
Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management
Tao Li, Zilin Bian, Haozhe Lei +6
Traditional mobility management strategies emphasize macro-level mobility oversight from traffic-sensing infrastructures, often overlooking safety risks that directly affect road u…
Informed along the road: roadway capacity driven graph convolution network for network-wide traffic prediction
Zilin Bian, Jingqin Gao, Kaan Ozbay +3
While deep learning has shown success in predicting traffic states, most methods treat it as a general prediction task without considering transportation aspects. Recently, graph n…
Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach
Zilin Bian, Jingqin Gao, Kaan Ozbay +1
Although traffic prediction has been receiving considerable attention with a number of successes in the context of intelligent transportation systems, the prediction of traffic sta…
A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in Images
Vincent Wilmet, Sauraj Verma, Tabea Redl +2
Anomaly detection in images plays a significant role for many applications across all industries, such as disease diagnosis in healthcare or quality assurance in manufacturing. Man…