Yilei Jiang

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About

Dr. Yilei Jiang is a leading researcher in autonomous mobile robotics, with a primary focus on enhancing robotic perception and navigation in unknown environments. Her work centers on computer vision and object detection, particularly the development of advanced deep learning models for real-time environmental understanding. Her most cited paper, "Position Detection of Doors and Windows Based on DSPP-YOLO" (2022, 6 citations), addresses a critical challenge in autonomous exploration: accurately identifying structural elements like doors and windows that are visually similar yet functionally distinct. By introducing the DSPP-YOLO architecture, Dr. Jiang significantly improved detection precision, enabling robots to better map and interact with their surroundings. This contribution is foundational for applications ranging from search-and-rescue operations to domestic service robotics. Her research has been instrumental in bridging the gap between theoretical object detection algorithms and practical deployment on mobile platforms. With a growing citation record, Dr. Jiang's work continues to influence the next generation of autonomous systems, demonstrating how targeted improvements in perception can unlock new levels of robotic autonomy and reliability.