Papers
3
Total Citations
23
H-Index
2
About
Jiale Wu is a robotics researcher specializing in autonomous navigation, sensor fusion, and environmental mapping for mobile robots operating in complex, dynamic environments. Their work centers on developing robust localization and mapping systems that integrate 3D LiDAR, IMU, and GNSS data to overcome the limitations of individual sensors—particularly in outdoor settings where GNSS signals are unreliable or obstructed. Wu’s most cited paper, “An Effective Way of Constructing Static Map Using 3-D LiDAR for Autonomous Navigation in Outdoor Environments” (2023, 15 citations), introduces a method to filter dynamic objects from LiDAR scans, ensuring map consistency for precise path planning. Building on this, their 2024 paper on a two-step particle adjustment strategy for LiDAR-GNSS fusion (6 citations) enhances localization reliability in urban canyons. Wu has also applied these techniques to agricultural robotics, as seen in their trunk map construction method for orchard navigation (2 citations), enabling long-term autonomy in structured natural environments. With a focus on practical, deployable solutions, Wu’s research bridges the gap between theoretical sensor fusion and real-world robotic navigation challenges.
Research Focus
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Top Papers
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