Yongjie Shu

Papers

Total Citations

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About

Yongjie Shu is a researcher focused on autonomous robotics and computer vision, with key contributions in terrain traversability evaluation and structural feature extraction from aerial imagery. His work addresses critical challenges in enabling unmanned platforms to understand and navigate complex environments. His most cited paper, "Overview of Terrain Traversability Evaluation for Autonomous Robots" (2024), with 13 citations, provides a comprehensive synthesis of methods for analyzing platform characteristics alongside semantic and geometric environmental features—a foundational step for autonomous navigation. In his 2023 paper, "Research on a hierarchical feature-based contour extraction method for spatial complex truss-like structures in aerial images" (6 citations), Shu introduces a novel hierarchical approach to extracting structural contours from challenging aerial views, advancing scene understanding for infrastructure inspection and mapping. His research bridges theoretical frameworks and practical algorithms, offering valuable insights for students and engineers developing robust autonomous systems. Shu’s work is notable for its systematic integration of multi-modal data, positioning him as an emerging voice in the fields of robotic perception and terrain analysis.