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.· International Conference on...· 0 citations
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.· International Conference on...· 0 citations
Time-Sensitive Networking (TSN) is a key mechanism for deterministic in-vehicle Ethernet, but its end-to-end behavior over 10BASE-T1S shared media remains unclear under mixed traffic in zonal architectures. This paper experimentally evaluates periodic control traffic delivered from an upper zonal Ethernet TSN domain to...
Jae Hun Kang, Y. Do, C. Park et al.· International Conference on...· 0 citations
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