Jinyu Yang

University of Birmingham, Technical University of Munich, Southern University of Science and Technology

Papers

Total Citations

H-Index

About

Jinyu Yang is a researcher at the forefront of computer vision and robotics, with a focus on object tracking and physical human-robot interaction (pHRI). His work bridges the gap between aerial perception and safety in autonomous systems. Yang’s most cited paper, "Resource-Efficient RGBD Aerial Tracking" (2023, 25 citations), addresses a critical challenge in drone-based tracking: the need for efficient, real-time performance in complex environments. By leveraging RGBD data, he enables aerial robots to track diverse objects beyond traditional categories like pedestrians or vehicles, advancing applications in search-and-rescue and surveillance. In parallel, Yang’s research on pHRI, exemplified by "Towards Unconstrained Collision Injury Protection Data Sets" (2024, 4 citations), tackles safety in human-robot collaboration. He develops surrogate experiments to model injury risks from edged or pointed impacts, moving beyond blunt-force standards to enhance robotic safety in industrial and domestic settings. His work on "Towards Generic 3D Tracking in RGBD Videos" (2022, 3 citations) further establishes benchmarks for robust, category-agnostic tracking. With a growing citation impact, Yang’s contributions are shaping safer, more versatile autonomous systems, making him a key voice in vision-based robotics.