Miaojun Zhou
Papers
1
Total Citations
8
H-Index
1
About
Miaojun Zhou is a robotics researcher whose work centers on autonomous navigation, with a particular focus on LiDAR-based simultaneous localization and mapping (SLAM) for outdoor environments. Her most-cited paper, "Development of an Autonomous Mobile Robot in the Outdoor Environments with a Comparative Survey of LiDAR SLAM" (2022), has garnered 8 citations and addresses a critical challenge in autonomous driving: achieving high-precision mapping essential for safety and accuracy. By systematically comparing LiDAR SLAM algorithms, Zhou provides a practical framework for selecting robust mapping solutions in real-world outdoor settings, bridging the gap between theoretical SLAM research and deployment in autonomous systems. Her contributions highlight the pivotal role of 3D LiDAR sensor technology in enabling reliable perception for self-driving vehicles. Zhou’s work is particularly valuable for students and researchers entering the field of autonomous robotics, offering both a survey of state-of-the-art methods and a hands-on development case study. Through her comparative analysis, she advances the understanding of how sensor choice and algorithm design impact mapping fidelity, laying groundwork for safer autonomous navigation in complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1