Abstract: Localization is an essential capability for mobile robots, enabling them to build a comprehensive representation of their environment and interact with the environment effectively toward a ...

I've developed this ActiveX control between 2013 and 2016 and never did finish it or release a beta to the public. Currently I have little interest to maintain this project any longer, but I think the ...

Abstract: In this letter, we introduce HPGS-SLAM, a real-time RGB-D SLAM system guided by hybrid point features (combining traditional and learned point features), enabling high-precision tracking and ...

Abstract: Mainstream visual-inertial SLAM systems use point features for motion estimation and localization. However, point features do not perform well in scenes such as weak texture and motion blur.

Abstract: Detection of interest features is a fundamental pre-processing task for visual odometry and visual simultaneous localization and mapping. The combination of line segments and corners is a ...

25 years ago, Jianbo Shi introduced Normalized Cuts (spectral clustering), a graph-theoretic approach to perceptual grouping that became a staple in unsupervised image segmentation. While the original ...

Abstract: The application of real-time visual tracking in laparoscopic surgery has gained significant attention in recent years, driven by the growing demand for precise and automated surgical ...

Abstract: A common way to learn is by studying written step-by-step tutorials such as worked examples. However, tutorials for computer programming can be tedious to create since a static text-based ...

Abstract: Due to the sparse underwater textures, pure visual simultaneous localization and mapping (SLAM) is limited, restricting the localization ability of underwater robots. To improve the ...

Abstract: We introduce a novel lidar-monocular visual odometry approach using point and line features. Compared to previous point-only based lidar-visual odometry, our approach leverages more ...

Abstract: The challenges in uncrewed aerial vehicle (UAV) visual geo-localization primarily stem from discrepancies between satellite maps and aerial images, including scale variations, viewpoint ...