Estimating Semantic Ambiguity via Gaussian Context Distributions for VLM-Driven Traversability Analysis
Autonomous navigation in unstructured environments requires robust scene understanding, yet Vision-Language Models (VLMs) often suffer from semantic ambiguity, where conflicting predictions can lead to dangerous failures. To address this, we present a novel pipeline for vision-based traversability estimation that expli...