Publications (7)
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…
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…
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.…
Bearings Fault Detection Using Hidden Markov Models and Principal Component Analysis Enhanced Features
Akthem Rehab, Islam Ali, Walid Gomaa +1
Asset health monitoring continues to be of increasing importance on productivity, reliability, and cost reduction. Early Fault detection is a keystone of health management as part…
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…
Disruption Detection for a Cognitive Digital Supply Chain Twin Using Hybrid Deep Learning
Mahmoud Ashraf, Amr Eltawil, Islam Ali
Purpose: Recent disruptive events, such as COVID-19 and Russia-Ukraine conflict, had a significant impact of global supply chains. Digital supply chain twins have been proposed in…
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…