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Qingzhao Zhu

3 accepted papers

2023

Deep Masked Graph Matching for Correspondence Identification in Collaborative Perception

ICRA 2023poster

Correspondence identification (CoID) is an essential component for collaborative perception in multi-robot systems, such as connected autonomous vehicles. The goal of CoID is to identify the correspondence of objects observed by multiple robots in their own field of view in order for robots to consi…

Cited by 5SourcecodeScholar
2022

Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation

ICRA 2022poster

Collaborative localization is an essential capability for a team of robots such as connected vehicles to collaboratively estimate object locations from multiple perspectives with reliant cooperation. To enable collaborative localization, four key challenges must be addressed, including modeling comp…

Cited by 6SourceScholar
2020

Simultaneous Learning from Human Pose and Object Cues for Real-Time Activity Recognition

ICRA 2020poster

Real-time human activity recognition plays an essential role in real-world human-centered robotics applications, such as assisted living and human-robot collaboration. Although previous methods based on skeletal data to encode human poses showed promising results on real-time activity recognition, t…

Cited by 13SourceScholar