Yanyang Rong
Papers
1
Total Citations
2
H-Index
1
About
Dr. Yanyang Rong is a researcher specializing in computer vision and intelligent transportation systems, with a particular focus on pedestrian detection and autonomous navigation. Their most notable contribution is the development of an improved YOLOv3-Tiny pedestrian detection algorithm, which addresses critical challenges in detecting small or obscured pedestrians—a persistent problem in real-world autonomous driving and robotics applications. By incorporating 52×52 feature maps into the network architecture and leveraging a specialized head-and-shoulders dataset, Rong’s work significantly enhances detection accuracy and recall rates compared to the baseline model. This algorithm has been practically implemented within the Robot Operating System (ROS) framework, demonstrating its applicability in real-time robotic systems. With their research accumulating citations and providing a tangible solution for safety-critical perception tasks, Dr. Rong’s work represents an important step toward more reliable pedestrian detection in cluttered urban environments. Their contributions bridge the gap between algorithmic innovation and practical deployment, making them a valuable voice in the ongoing development of intelligent, perception-driven autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1