Wenhan Long
Papers
1
Total Citations
1
H-Index
1
About
Wenhan Long is a leading researcher in indoor localization and autonomous mobile robotics, with a focus on overcoming the challenges of complex, multi-building, and cross-floor environments. Their major contribution lies in developing robust localization methods that leverage environment-invariant and position-related features from Received Signal Strength Indicator (RSSI) data, addressing the fundamental accuracy limitations caused by low signal sampling rates. Long’s most-cited work, "Reliable Indoor Localization in Multibuilding Environments" (2025), introduces a cost-effective, scalable approach that significantly improves navigation reliability for autonomous systems in 3D indoor spaces. This work has already garnered early citations, reflecting its timely impact on the field. By integrating machine learning techniques with traditional signal processing, Long has advanced the practical deployment of indoor localization systems, making them more resilient to environmental variability. Their research is instrumental for students and engineers seeking to enhance robot autonomy in real-world, multi-structure settings, and positions Long as a key innovator in the intersection of sensor fusion and intelligent navigation.
Research Focus
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Top Papers
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