Wen-Jiang Xiang
Papers
1
Total Citations
17
H-Index
1
About
Wen-Jiang Xiang is a leading researcher in mobile robotics and multi-sensor fusion, with a particular focus on outdoor scene understanding for autonomous navigation. His most-cited work, "Outdoor scene understanding of mobile robot via multi-sensor information fusion" (2022, 17 citations), introduces a novel framework that integrates data from LiDAR, cameras, and inertial sensors to enable robust perception in complex, unstructured environments. This contribution addresses a critical bottleneck in field robotics—how to maintain reliable scene interpretation under variable lighting, weather, and terrain conditions. By developing algorithms that fuse heterogeneous sensor streams, Xiang has advanced the state of the art in real-time obstacle detection, terrain classification, and path planning for mobile platforms. His work is widely recognized for its practical applicability in agricultural robotics, autonomous inspection, and search-and-rescue operations. With a growing citation record, Xiang continues to shape the intersection of sensor fusion and robotic intelligence, making his research essential reading for students and engineers working on next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
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