Yuanyan Xie — accepted AI-conference papers

2024

InstanceVO: Self-Supervised Semantic Visual Odometry by Using Metric Learning to Incorporate Geometrical Priors in Instance Objects

Yuanyan Xie, Junzhe Yang, Huaidong Zhou, Fuchun Sun

RA-L 2024

Visual odometry is one of the key technologies for unmanned ground vehicles. To improve the robustness of the systems and enable intelligent tasks, researchers introduced learning-based recognition modules into visual odometry systems, but didn't realize tight coupling between visual odometry system

Cited by 2 Source ↗Scholar ↗

2023

Indoor Visual Re-Localization for Long-Term Autonomous Robots Based on Object-Level Features and Semantic Relationships

Yuanyan Xie, Yu Guo, Zhenqiang Mi, Xiaokun Wang, Yang Yang, Mohammad S. Obaidat

RA-L 2023

Visual re-localization has become one of the key technologies for long-term autonomous robots. Existing methods, mostly focusing on addressing day-night, weather, and seasonal changes, are not applicable in indoor scenarios. At the same time, the layouts of objects in indoor scenes are highly dynami

Cited by 3 Source ↗Scholar ↗