most citedTraversability-aware Adaptive Optimization for Path Planning and Control in Mountainous Terrain

13 citations · 17 across the 7 of their papers we have counts for

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cs.RO2026

Feeling Terrain Before Crossing: World Models for Off-Road Navigation

E-In Son, Dong-Wook Kim, Ji-Hoon Hwang +4

Navigation world models plan by foresight, predicting the future that each candidate action sequence produces and selecting the best, rather than mapping observations to actions di…

cs.RO2026

CanonNav: Disentangling Navigation Behavior from Camera Geometry in Cross-Platform Visual Navigation

Dong-Wook Kim, Ji-Hoon Hwang, E-In Son +2

While visual navigation has advanced through imitation learning from cross-platform demonstrations, fully leveraging such data remains challenging. First, directly learning from im…

cs.RO2026★ 3 cited

How to Relieve Distribution Shifts in Semantic Segmentation for Off-Road Environments

Ji-Hoon Hwang, Daeyoung Kim, Hyung-Suk Yoon +2

Semantic segmentation is crucial for autonomous navigation in off-road environments, enabling precise classification of surroundings to identify traversable regions. However, disti…

cs.RO2024★ 13 cited

Traversability-aware Adaptive Optimization for Path Planning and Control in Mountainous Terrain

Se-Wook Yoo, E In Son, Seung-Woo Seo

Autonomous navigation in extreme mountainous terrains poses challenges due to the presence of mobility-stressing elements and undulating surfaces, making it particularly difficult…

cs.RO2024★ 1 cited

Follow the Footprints: Self-supervised Traversability Estimation for Off-road Vehicle Navigation based on Geometric and Visual Cues

Yurim Jeon, E In Son, Seung-Woo Seo

In this study, we address the off-road traversability estimation problem, that predicts areas where a robot can navigate in off-road environments. An off-road environment is an uns…