Xinzhi Yan — accepted AI-conference papers

2023

Real-Time Video Inpainting for RGB-D Pipeline Reconstruction

Luyuan Wang, Tina Tian, Xinzhi Yan, Fujun Ruan, G. Jaya Aadityaa, Howie Choset +1

IROS 2023poster

This paper presents a Video Inpainting algorithm that enables monocular-camera-laser-based pipeline inspection robots to capture both color and 3D information using only one video stream. Conventional monocular-camera-laser inspection methods are limited to capture either 2D color images or 3D point…

Cited by 0 Source ↗Scholar ↗

2023

Visual-Inertial-Laser-Lidar (VILL) SLAM: Real-Time Dense RGB-D Mapping for Pipe Environments

Tina Tian, Luyuan Wang, Xinzhi Yan, Fujun Ruan, G. Jaya Aadityaa, Howie Choset +1

IROS 2023poster

Robotic solutions for pipeline inspection promise enhancement of human labor by automating data acquisition for pipe condition assessments, which are vital for the early detection of pipe anomalies and the prevention of hazardous leakages and explosions. Through simultaneous localization and mapping…

Cited by 5 Source ↗Scholar ↗