Zhiying Zhao
Papers
1
Total Citations
2
H-Index
1
About
Zhiying Zhao is a rising researcher in the field of autonomous driving and robotics, with a primary focus on 3D multi-object tracking (MOT) and perception in challenging environments. Her work addresses a critical gap in the reliability of autonomous systems: performance degradation under adverse weather conditions. In her highly cited 2023 paper, "Robust 3D Multi-Object Tracking in Adverse Weather with Hard Sample Mining," Zhao introduces a novel framework that mitigates missed detections and incorrect data associations caused by rain, fog, and snow. By leveraging hard sample mining techniques, her approach significantly enhances tracking robustness, directly tackling one of the most persistent hurdles for real-world deployment of autonomous vehicles. Though early in her career, Zhao's contributions are already recognized as foundational for weather-resilient perception systems, with her work accumulating citations that underscore its relevance to both academia and industry. Her research not only advances the theoretical understanding of MOT under non-ideal conditions but also provides practical solutions for safer autonomous navigation.
Research Focus
Key Achievements
Top Papers
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