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Author

Young-Hoon Suh

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Conference Jul 2026

LASA: Latency-Aware Safety Arbitration for Vision-Language-Action Autonomous Driving

Deploying Vision-Language-Action (VLA) models in real-time autonomous driving faces two barriers: the difficulty of safety assurance for black-box end-to-end outputs, and inference tail latency far exceeding the 20 ms control deadline at 50 Hz, which causes stale decisions to produce dangerous actions. The 50 Hz Fast R...

Y. Suh, H. Park, H. Park et al. · 0 citations
Conference Jul 2026

LiDAR-Supervised Monocular Depth Estimation via Cross-Modal Supervision

Accurate depth perception is a cornerstone of autonomous driving, yet LiDAR sensors—the primary source of metric depth—remain costly and operationally complex. In this paper, we propose a cross-modal supervision framework that uses sparse LiDAR depth maps solely during training, enabling camera-only dense depth inferen...

H. Park, Young-Hoon Suh, Sun-Hong Jung et al. · 0 citations

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