Papers

1

Total Citations

5

H-Index

1

About

Jiaxin Hu is a researcher in mobile robotics, with a primary focus on sensor fusion for simultaneous localization and mapping (SLAM). Their most cited work, "SLAM of Mobile Robot Based on the Joint Optimization of LiDAR and Camera" (2022, 5 citations), addresses a critical limitation in autonomous navigation: the inadequacy of single-sensor SLAM systems. Hu’s research demonstrates that while 2D LiDAR SLAM fails to capture complete environmental structures, and camera-based SLAM suffers from low localization accuracy, integrating both sensors through joint optimization significantly improves mapping completeness and pose estimation. This contribution is particularly valuable for intelligent mobile robots operating in complex, unstructured environments. Though early in their career, Hu’s work has already been cited by peers exploring multi-modal perception for robotics, highlighting its relevance to advancing robust autonomous navigation. Their research underscores a growing trend toward hybrid sensor architectures in SLAM, offering a practical pathway for deploying more reliable mobile robots in real-world applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
SLAM of Mobile Robot Based on the Joint Optimization of LiDAR and Camera
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Chongqing University of Posts and Telecommunications

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago