AI RESEARCH

LoD-Loc v3: Generalized Aerial Localization in Dense Cities using Instance Silhouette Alignment

arXiv CS.AI

ArXi:2603.19609v1 Announce Type: cross We present LoD-Loc v3, a novel method for generalized aerial visual localization in dense urban environments. While prior work LoD-Loc v2 achieves localization through semantic building silhouette alignment with low-detail city models, it suffers from two key limitations: poor cross-scene generalization and frequent failure in dense building scenes. Our method addresses these challenges through two key innovations.