Jiansheng Li

PLA Information Engineering University

Papers

2

Total Citations

60

H-Index

2

About

Jiansheng Li is a researcher whose work sits at the intersection of robotics, computer vision, and astronomical instrumentation. His primary research areas include semantic simultaneous localization and mapping (SLAM) for dynamic environments and automated celestial surveying. Li’s most impactful contribution is a computationally efficient semantic SLAM solution for dynamic scenes, which addresses a critical challenge in robotics: the degradation of localization accuracy caused by moving objects like pedestrians. By integrating semantic understanding into the mapping process, his work enables robots to distinguish between static structures and dynamic entities, producing cleaner, more reliable maps. This paper has garnered 51 citations, reflecting its influence on the development of robust perception systems for real-world deployment. In a different vein, Li has also advanced astronomical survey methods by leveraging video measurement robots and CCD imaging technology. His 2020 paper on automatic astronomical surveying eliminates the traditional personal and instrumental errors inherent in manual celestial geodesy, achieving higher precision and automation. This work, with 9 citations, demonstrates his versatility in applying robotic and imaging techniques to both terrestrial and extraterrestrial challenges, marking him as a contributor to two distinct but technically demanding fields.

Research Focus

Key Achievements

2
H-Index
2
Papers
60
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
A Computationally Efficient Semantic SLAM Solution for Dynamic Scenes
51 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: PLA Information Engineering University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago