Japanese Road Lane Line Recognition Based on TwinLiteNet
摘要
Our study develops a lane detection system using the TwinLiteNet model trained on Japanese expressway driving scenarios. The system accurately detects lane markings under diverse lighting and environmental conditions, showcasing robust performance day or night. This research highlights the effectiveness of our approach for lane detection on Japanese roads.