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: Mobile robots rely on Visual Simultaneous Localization and Mapping (SLAM) as their primary technology. However, in environments with dynamic lighting changes, current state-of-the-art visual ...

The White House is facing criticism after citing data from food delivery service DoorDash to claim progress in reducing inflation. The report analyzes hundreds of millions of DoorDash transactions to ...

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 ...

Abstract: Simultaneous localization and mapping (SLAM) is widely used in various fields, such as unmanned driving, robotics, and VR. The SLAM system with multiple landmarks is also a research hotspot ...

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: The performance of a visual SLAM system based on point features significantly diminishes in low-textured environments due to the challenges in extracting sufficient and reliable points. The ...

The Trump administration is urging a group of nine universities to sign a 10-point compact that would have sweeping implications on campus in exchange for a funding advantage in federal grants. The 10 ...

Abstract: In recent years, there has been a rapid growth in applications that rely on point clouds to represent the 3D world, driven by the increasing demand for immersive and other related scenarios.

Abstract: Visual-inertial odometry (VIO) utilizing point and line features has become prevalent for state estimation in structured environments. The robustness of line segment detection and the ...