TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes

To tackle the aforementioned issues, we introduce TopoLogic, an interpretable method for lane topology reasoning that is based on lane geometric distances and the similarity of lane query in semantic space. The geometric distance-based approach aims to mitigates the impact of endpoint shift, thereby more robustly learning lane topology.