Xu Ge

Jiangxi University of Science and Technology

Papers

Total Citations

H-Index

About

Xu Ge is a leading researcher in computer vision and robotics, with a primary focus on advancing object detection technologies. His most influential work, the 2022 review "The Object Detection, Perspective and Obstacles In Robotic: A Review," has garnered 66 citations, establishing him as a key voice in the field. In this seminal paper, Ge systematically analyzed the historical limitations of image processing hardware and software that caused frequent detection failures, while documenting how technological breakthroughs have transformed the landscape. His major contribution lies in providing a comprehensive framework that maps the evolution of object detection from its early struggles to modern solutions, identifying persistent obstacles and future perspectives for robotic applications. Ge's work serves as an essential resource for researchers and engineers developing autonomous systems, offering both a critical retrospective and a roadmap for overcoming current challenges. By synthesizing decades of progress, he has helped bridge the gap between theoretical computer vision and practical robotic implementation, making his research indispensable for students and professionals working on perception systems in robotics.