[PhD] Geometric-Semantic Adaptation of Multimodal LLMs for High-level Landmark Detection in Complex Environments
General information Description Context Landmark detection, description and matching is the cornerstone of autonomous visual localization systems deployed in unknown environments. While most widely-adopted and accurate solutions exploit low-level landmarks (i.e., points or lines), dealing with large-scale and visually ambiguous environments remains highly challenging due to the inherent multiplicity, ambiguity…

