2 papers
cs.RO2026
FPAS: Frontier-Based Path Planning with Adaptive Sampling for Large-Scale Unknown Environments
Jinwoo Choi, Yeonkyu Lee, Jung-Taak Kim +2
In this work, we propose Frontier-based Path Planning with Adaptive Sampling (FPAS), a novel framework designed for efficient goal-reaching in large-scale, unknown environments. Wh…
cs.CV2026
From General Vision to Reliable Traversability Estimation: Adapting Vision Foundation Models for Unstructured Outdoor Environments
Ji-Hoon Hwang, Jisung Bae, Dong-Wook Kim +2
Vision-based approaches have become the dominant paradigm for traversability estimation in unstructured outdoor environments, typically adapting vision foundation models (VFMs) via…