59 citations · 175 across the 10 of their papers we have counts for
6 papers · 1 filter
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…
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…
Following Closely: A Robust Monocular Person Following System for Mobile Robot
Hanjing Ye, Jieting Zhao, Yaling Pan +2
Monocular person following (MPF) is a capability that supports many useful applications of a mobile robot. However, existing MPF solutions are not completely satisfactory. Firstly,…
Online Mutual Adaptation of Deep Depth Prediction and Visual SLAM
Shing Yan Loo, Moein Shakeri, Sai Hong Tang +2
The ability of accurate depth prediction by a convolutional neural network (CNN) is a major challenge for its wide use in practical visual simultaneous localization and mapping (SL…
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.…
Fast ORB-SLAM without Keypoint Descriptors
Qiang Fu, Hongshan Yu, Xiaolong Wang +4
Indirect methods for visual SLAM are gaining popularity due to their robustness to environmental variations. ORB-SLAM2 \cite{orbslam2} is a benchmark method in this domain, however…