Huiying Deng

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Huiying Deng is a researcher at the forefront of robotics and machine vision, with a primary focus on advancing visual odometry—a critical technology for autonomous navigation and spatial localization. Her most influential work introduces a novel approach by leveraging pseudo-LiDAR data to enhance visual odometry, a method that bridges the gap between traditional camera-based systems and more expensive LiDAR sensors. This contribution, detailed in her 2023 paper "Pseudo-LiDAR for Visual Odometry," has already garnered 14 citations, signaling its growing impact in the field. By reimagining how depth information can be extracted and utilized from standard imagery, Deng’s research offers a more accessible and cost-effective solution for applications ranging from robotics to augmented reality. Her work stands out for its practical ingenuity, addressing the complexity of continuous image processing while improving accuracy and robustness. As an emerging voice in her domain, Huiying Deng is shaping the future of machine perception, making sophisticated navigation tools more attainable for researchers and engineers alike.