Yucheng Ou
Papers
1
Total Citations
10
H-Index
1
About
Yucheng Ou is a researcher advancing the field of autonomous vehicle systems, with a primary focus on perception-driven control and navigation. His most-cited work, "Autonomous Driving Control Based on the Perception of a Lidar Sensor and Odometer" (2022), has garnered 10 citations and introduces a novel method for enabling unmanned ground vehicles (UGVs) to achieve path planning and obstacle avoidance. By integrating Lidar sensor data with odometry, Ou addresses a critical challenge in smart mobility: making UGVs capable of reliable, real-time autonomous movement. His contributions lie at the intersection of sensor fusion and control algorithms, offering practical solutions for self-driving cars and robotic platforms. Though early in his career, Ou’s research has already influenced discussions on low-cost, perception-based autonomy, demonstrating how artificial intelligence can be applied to real-world transportation challenges. His work is particularly relevant for students and engineers exploring autonomous navigation, as it bridges theoretical AI methods with tangible, implementable systems for UGVs.
Research Focus
Key Achievements
Top Papers
- 1