RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement

Understand

The road network graph is a critical component for downstream tasks in autonomous driving, such as global route planning and navigation.

• In the past years, road network graphs are usually annotated by human experts manually, which is time-consuming and labor-intensive.
• To annotate road network graphs effectively and efficiently, automatic algorithms for road network graph detection are demanded.
• Most existing methods either adopt a post-processing step on semantic segmentation maps to produce road network graphs, or propose graph-based algorithms to directly predict the graphs.