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

The burgeoning navigation services using digital maps provide great convenience to drivers. However, there are sometimes anomalies in the lane rendering map images, which might mislead human drivers and result in unsafe driving. To accurately and effectively detect the anomalies, this paper transforms lane rendering image anomaly detection into...

An integrated scenario-based measuring for transportation resilience: A case study of Pazhou, Guangzhou, Greater Bay Area

Toward a resilient coastal city: performance assessment for adaptive solutions of green-gray-blue infrastructure

Scenario-based coastal resilience assessment of Green-Blue-Gray infrastructure: A case study of Marine City, Shenzhen, Greater Bay Area