Jialing Liu — accepted AI-conference papers

2022

Robust and Accurate Multi-Agent SLAM with Efficient Communication for Smart Mobiles

Jialing Liu, Kaiqi Chen, Ruyu Liu, Yanhong Yang, Zhenhua Wang, Jianhua Zhang

ICRA 2022poster

In a long-term large-scenario application, the multi-agent collaborative SLAM is expected to improve the robustness and efficiency of executing tasks for mobile agents. In this paper, a multi-agent collaborative visual-inertial SLAM system is proposed based on a centralized client-server (CS) archit…

Cited by 8 Source ↗Scholar ↗

2021

Collaborative Visual Inertial SLAM for Multiple Smart Phones

Jialing Liu, Ruyu Liu, Kaiqi Chen, Jianhua Zhang, Dongyan Guo

ICRA 2021poster

The efficiency and accuracy of mapping are crucial in a large scene and long-term AR applications. Multi-agent cooperative SLAM is the precondition of multi-user AR interaction. The cooperation of multiple smart phones has the potential to improve efficiency and robustness of task completion and can…

Cited by 16 Source ↗Scholar ↗