Junxin Chen

Hunan Normal University

Papers

1

Total Citations

50

H-Index

1

About

Dr. Junxin Chen is a leading researcher in autonomous robotics and perception systems, with a primary focus on LiDAR-based simultaneous localization and mapping (SLAM) for robotic mapping. His seminal work, "LiDAR-based SLAM for robotic mapping: state of the art and new frontiers" (2023), has already garnered 50 citations, establishing itself as a key reference for both researchers and engineers navigating the rapidly evolving landscape of robotic navigation. In this comprehensive review, Dr. Chen systematically surveys the state-of-the-art in LiDAR SLAM, critically analyzing algorithmic advancements, sensor fusion techniques, and emerging frontiers such as deep learning integration and robustness in challenging environments. His contributions provide a foundational roadmap for advancing autonomous mapping in applications ranging from field robotics to autonomous vehicles. By synthesizing decades of progress and highlighting unresolved challenges, Dr. Chen’s work empowers the next generation of roboticists to push the boundaries of real-time, accurate, and resilient spatial perception.

Research Focus

Key Achievements

1
H-Index
1
Papers
50
Total Citations
50
Avg Citations/Paper
🏆 Most Cited Paper
LiDAR-based SLAM for robotic mapping: state of the art and new frontiers
50 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Hunan Normal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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