3 papers
cs.RO2026
STONE Dataset: A Scalable Multi-Modal Surround-View 3D Traversability Dataset for Off-Road Robot Navigation
Konyul Park, Daehun Kim, Jiyong Oh +7
Reliable off-road navigation requires accurate estimation of traversable regions and robust perception under diverse terrain and sensing conditions. However, existing datasets lack…
cs.CV2025
Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion
Jaehyun Park, Konyul Park, Daehun Kim +2
In autonomous driving, transparency in the decision-making of perception models is critical, as even a single misperception can be catastrophic. Yet with multi-sensor inputs, it is…
cs.CV2025
Resilient Sensor Fusion under Adverse Sensor Failures via Multi-Modal Expert Fusion
Konyul Park, Yecheol Kim, Daehun Kim +1
Modern autonomous driving perception systems utilize complementary multi-modal sensors, such as LiDAR and cameras. Although sensor fusion architectures enhance performance in chall…