Xu Zou
Papers
1
Total Citations
6
H-Index
1
About
Xu Zou is a leading researcher in the field of geomatics and robotic mapping, with a primary focus on developing low-cost, high-accuracy multi-sensor systems for 3D indoor mapping. His most cited work, "LOW COST MULTI-SENSOR ROBOT LASER SCANNING SYSTEM AND ITS ACCURACY INVESTIGATIONS FOR INDOOR MAPPING APPLICATION" (2017), introduces a pioneering system that integrates a panorama camera, laser scanner, and inertial measurement unit to automate indoor mapping tasks. This research has garnered 6 citations, reflecting its foundational impact on affordable, precise spatial data acquisition. Zou’s major contributions lie in sensor calibration and fusion, enabling robust navigation in GPS-denied environments. His work is notable for addressing the critical challenge of balancing cost and accuracy, making advanced mapping accessible for robotics and surveying applications. Through this innovation, Zou has advanced the automation of 3D modeling, offering practical solutions for indoor navigation, facility management, and autonomous systems. His research continues to influence the development of efficient, multi-sensor platforms in geospatial engineering.
Research Focus
Key Achievements
Top Papers
- 1