70 citations · 126 across the 5 of their papers we have counts for
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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…
cs.CV2021★ 49 cited
A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection
Yongqi Dong, Sandeep Patil, Bart van Arem +1
Accurate and reliable lane detection is vital for the safe performance of lane-keeping assistance and lane departure warning systems. However, under certain challenging circumstanc…