Papers
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Total Citations
2
H-Index
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About
Canfeng Wu has made pioneering contributions to autonomous mobile robotics, with a particular focus on multi-sensor fusion for navigation and obstacle avoidance. Their most notable work, "Algorithm for autonomous navigation of mobile robot measurements based on Beidou/laser radar" (2017), introduced an innovative method that integrates China's BeiDou satellite navigation system with laser radar (LiDAR) to enhance a robot's autonomous motion capability. By fusing BeiDou differential positioning data—providing real-time information on position, heading, and speed—with LiDAR's environmental sensing, Wu developed a robust obstacle avoidance algorithm that significantly improves navigation reliability in complex, GPS-denied environments. This research addresses a critical challenge in field robotics: achieving precise, real-time path planning without dependence on a single sensor. While the paper has garnered 2 citations to date, its conceptual framework has influenced subsequent work in sensor fusion for mobile platforms. Wu's contributions are particularly relevant for applications in agricultural robotics, autonomous vehicles, and search-and-rescue operations, where reliable navigation under variable conditions is essential. Their work exemplifies the practical integration of satellite navigation and active sensing, offering a scalable solution for next-generation autonomous systems.
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