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

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CY2026

Complete Trip: A Linked Multimodal Human Mobility Dataset

Ruohan Li, Weiyu Luo, Xin Wu +1

Human mobility data have become fundamental to research across transportation, public health, urban science, and disaster resilience. However, existing mobility datasets typically…

cs.CV2023★ 2 cited

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

Yongqi Dong, Xingmin Lu, Ruohan Li +3

The burgeoning navigation services using digital maps provide great convenience to drivers. Nevertheless, the presence of anomalies in lane rendering map images occasionally introd…