2 papers
cs.CV2026
RailVQA: A Benchmark and Framework for Efficient Interpretable Visual Cognition in Automatic Train Operation
Sen Zhang, Runmei Li, Shizhuang Deng +7
As Automatic Train Operation (ATO) advances toward GoA4 and beyond, it increasingly depends on efficient, reliable cab-view visual perception and decision-oriented inference to ens…
cs.CV2025
OrchardDepth: Precise Metric Depth Estimation of Orchard Scene from Monocular Camera Images
Zhichao Zheng, Henry Williams, Bruce A MacDonald
Monocular depth estimation is a rudimentary task in robotic perception. Recently, with the development of more accurate and robust neural network models and different types of data…