Zhuoping Yu

Papers

Total Citations

H-Index

About

Zhuoping Yu is a researcher advancing intelligent transportation and autonomous driving systems, with key contributions in robotics and 3D perception. Their work on the ITDP-Robot introduced an innovative electric autonomous parking robot prototype, designed to alleviate urban parking shortages by adapting mechanical structures for efficient vehicle transport and dispatch. This foundational research has garnered 2 citations, highlighting its early impact on smart parking solutions. More recently, Yu developed SPV-SSD, an anchor-free 3D single-stage detector that fuses multi-modal sensor data—specifically camera semantic information and LiDAR geometric data—to enhance object detection in automated driving. This work, also cited 2 times, addresses critical challenges in perception for robotics and autonomous vehicles. Yu’s research bridges practical engineering design with cutting-edge deep learning, demonstrating a commitment to solving real-world mobility problems. Their achievements reflect a growing influence in the fields of intelligent transport and autonomous systems, with potential for significant future contributions as these technologies mature.