Papers
2
Total Citations
20
H-Index
2
About
Yong-Ge Wu’s research focuses on multisensor fusion, autonomous robot navigation, and environment perception. His major contributions lie in developing integrated vision systems that combine data from laser range finders and color CCD cameras to enable robust obstacle detection and real-time environment modeling for mobile robots. His most cited work, “Obstacle detection and environment modeling based on multisensor fusion for robot navigation” (1996), has garnered 15 citations, while his earlier foundational study on detection for mobile robot navigation (1995) has received 5 citations. Together, these papers advance the field by demonstrating how complementary sensor data—range and visual—can be fused to overcome the limitations of individual sensors, improving navigation safety and autonomy. Wu’s research is particularly notable for its practical application in autonomous mobile robot systems, offering a blueprint for sensor integration that remains relevant in modern robotics and autonomous vehicle development. His work continues to influence researchers working on multisensor perception and intelligent navigation systems.
Research Focus
Key Achievements
Top Papers
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