Xuhong Xiao

Papers

Total Citations

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About

Xuhong Xiao is a researcher whose work lies at the intersection of autonomous perception, sensor fusion, and cognitive architectures for mobile systems. Their most cited paper, "Rural scene parsing and road boundary estimation by fusion of lidar pointcloud and EO images" (2016), introduces a novel perception system that integrates 3D lidar pointcloud classification with image-based scene parsing to generate semantic 2D maps of unstructured, rural environments. This fusion enables robust dirt road boundary estimation, a critical capability for off-road autonomous navigation. While their citation counts are modest (3 and 2 citations respectively), the work demonstrates foundational contributions to multi-modal sensor integration in challenging, non-urban settings. Xiao’s earlier paper, "DSO Cognitive Architecture in Mobile Surveillance" (2012), explores cognitive frameworks for intelligent surveillance, highlighting a sustained interest in perception-driven autonomy. Their research is particularly relevant for students and engineers working on autonomous vehicles, field robotics, and environmental perception, offering practical insights into fusing lidar and visual data for real-world, unstructured terrain understanding.