activity
20202023
most citedPL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features

59 citations · 61 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2023

Prediction of SLAM ATE Using an Ensemble Learning Regression Model and 1-D Global Pooling of Data Characterization

Islam Ali, Bingqing, Wan +1

Robustness and resilience of simultaneous localization and mapping (SLAM) are critical requirements for modern autonomous robotic systems. One of the essential steps to achieve rob…

cs.RO2022

Optimizing SLAM Evaluation Footprint Through Dynamic Range Coverage Analysis of Datasets

Islam Ali, Hong Zhang

Simultaneous Localization and Mapping (SLAM) is considered an ever-evolving problem due to its usage in many applications. Evaluation of SLAM is done typically using publicly avail…

cs.CV2022★ 2 cited

Sparse Optical Flow-Based Line Feature Tracking

Qiang Fu, Hongshan Yu, Islam Ali +1

In this paper we propose a novel sparse optical flow (SOF)-based line feature tracking method for the camera pose estimation problem. This method is inspired by the point-based SOF…

cs.RO2022

Are We Ready for Robust and Resilient SLAM? A Framework For Quantitative Characterization of SLAM Datasets

Islam Ali, Hong Zhang

Reliability of SLAM systems is considered one of the critical requirements in modern autonomous systems. This directed the efforts to developing many state-of-the-art systems, crea…

cs.RO2020★ 59 cited

PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features

Qiang Fu, Jialong Wang, Hongshan Yu +4

Leveraging line features to improve localization accuracy of point-based visual-inertial SLAM (VINS) is gaining interest as they provide additional constraints on scene structure.…