Bingyu Yang — accepted AI-conference papers

2024

BronchoCopilot: Towards Autonomous Robotic Bronchoscopy via Multimodal Reinforcement Learning

Jianbo Zhao, Hao Chen, Qingyao Tian, Jian Chen, Bingyu Yang, Zihui Zhang +1

IROS 2024poster

Bronchoscopy plays a significant role in the early diagnosis and treatment of lung diseases. This process demands physicians to maneuver the flexible endoscope for reaching distal lesions, particularly requiring substantial expertise when examining the airways of the upper lung lobe. With the develo…

Cited by 1 Source ↗Scholar ↗

2024

DD-VNB: A Depth-based Dual-Loop Framework for Real-time Visually Navigated Bronchoscopy

Qingyao Tian, Huai Liao, Xinyan Huang, Jian Chen, Zihui Zhang, Bingyu Yang +2

IROS 2024

Real-time 6 DOF localization of bronchoscopes is crucial for enhancing intervention quality. However, current vision-based technologies struggle to balance between generalization to unseen data and computational speed. In this study, we propose a Depth-based Dual-Loop framework for real-time Visuall

Cited by 12 Source ↗Scholar ↗