Yueqi Ma
Papers
1
Total Citations
29
H-Index
1
About
Yueqi Ma is a researcher specializing in agricultural robotics and multi-sensor fusion, with a particular focus on autonomous navigation in complex field environments. Their most influential work, "A Camera-LiDAR-IMU fusion method for real-time extraction of navigation line between maize field rows" (2024), has already garnered 29 citations, highlighting its immediate impact on precision agriculture. Ma's major contribution lies in developing a robust, real-time algorithm that integrates visual, LiDAR, and inertial data to accurately identify crop row boundaries—a critical challenge for autonomous farming vehicles. By fusing these heterogeneous sensors, their method overcomes limitations of individual systems, such as poor lighting or occlusion, enabling reliable navigation even in dense maize canopies. This work not only advances agricultural automation but also offers a scalable framework for field robotics. Ma's research addresses a pressing need for efficient, non-chemical weed control and crop monitoring, positioning them as a key innovator in the intersection of computer vision, sensor fusion, and agri-tech. Their achievements underscore a commitment to practical, deployable solutions that bridge the gap between laboratory algorithms and real-world agricultural operations.
Research Focus
Key Achievements
Top Papers
- 1