Papers
1
Total Citations
9
H-Index
1
About
Zeyu Ma is a researcher in autonomous navigation and intelligent transportation systems, with a particular focus on unmanned vehicle perception and obstacle avoidance. His most cited work, "Obstacle Avoidance for Unmanned Vehicle based on a 2D LIDAR" (2019), addresses a critical challenge in modern port logistics: enabling autonomous vehicles to navigate safely in busy container terminals. By leveraging 2D LIDAR data, Ma developed a robust obstacle detection and avoidance framework that helps reduce labor costs, improve port capacity, and lower energy consumption in loading operations. This contribution is especially relevant as international trade ports grow increasingly congested and automated. With 9 citations, this paper has served as a practical reference for researchers and engineers working on low-cost, real-time navigation solutions for unmanned ground vehicles. Ma’s work sits at the intersection of robotics, sensor fusion, and maritime logistics automation, offering scalable approaches to enhance the efficiency and safety of autonomous systems in industrial environments.
Research Focus
Key Achievements
Top Papers
- 1Obstacle Avoidance for Unmanned Vehicle based on a 2D LIDAR9 citations · 2019