Jiajun Leng
Papers
1
Total Citations
10
H-Index
1
About
Jiajun Leng is a researcher specializing in indoor localization and mobile robotics, with a particular focus on ultra-wideband (UWB) technology. His most cited work, "Improved TDOA Two-Stage UWB Localization Algorithm For Indoor Mobile Robot" (2021), addresses critical challenges in enhancing the accuracy and reliability of indoor positioning systems. By refining the time difference of arrival (TDOA) algorithm through a two-stage approach, Leng’s research significantly improves the service quality of indoor mobile robots, enabling more precise navigation in complex environments. This contribution has garnered 10 citations, reflecting its relevance to advancing autonomous systems. Leng’s work systematically explores the fundamental principles and error sources of UWB-based localization, offering practical solutions for real-world applications. His research is particularly valuable for students and engineers working on robotics, sensor networks, and indoor positioning systems, as it bridges theoretical algorithms with tangible improvements in robot mobility and operational efficiency.
Research Focus
Key Achievements
Top Papers
- 1Improved TDOA Two-Stage UWB Localization Algorithm For Indoor Mobile Robot10 citations · 2021