Wei Nie

Chongqing University of Posts and Telecommunications

Papers

Total Citations

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About

Wei Nie is a researcher advancing the frontiers of autonomous navigation, with a primary focus on indoor localization and LiDAR-based SLAM (Simultaneous Localization and Mapping). His work addresses critical challenges in environments where GPS signals are unreliable or unavailable. Nie’s major contributions include the development of a novel “Reflective Markers Assisted Indoor LiDAR Self-Positioning Algorithm,” which optimizes positioning accuracy by jointly considering the Fisher Information Matrix (FIM) and Geometric Dilution of Precision (GDOP). This work, cited 8 times, provides a robust solution for mobile robots and UAVs navigating complex indoor spaces. He has also pioneered localization methods using depth cameras, offering an alternative to traditional wireless signal-based approaches that often suffer from interference. His paper on depth camera localization (7 citations) demonstrates practical improvements for mobile robot autonomy in GPS-denied environments. By integrating reflective markers and advanced optimization techniques, Nie’s research directly enhances the reliability and precision of autonomous systems, making him a notable contributor to the field of robotic perception and navigation.