Abstract: Accurately and continuously tracking object vehicles and obtaining their motion information are crucial for safe decision-making and planning in autonomous vehicles. However, the existing ...

Occlusion, sudden illumination changes, and rapid motion in complex scenes severely degrade the robustness of existing object tracking methods. To address this issue, this paper proposes a novel ...

Have you ever wondered why modifying a list inside a function affects the original, but changing an integer doesn't? Understanding how Python handles objects is crucial for writing bug-free code. In ...

Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...

On July 1, 2025, the Asteroid Terrestrial-impact Last Alert System (ATLAS) telescope in Río Hurtado, Chile, announced the discovery of something truly spectacular: a mysterious object that appeared to ...

Markets respond to information faster than anything else, and most of that information begins with a headline. An earnings update, a regulatory note, a product issue, even a short line from an analyst ...

As someone deeply involved in the space sector, I’ve seen firsthand how low Earth orbit (LEO) is becoming increasingly congested. Satellite operators, space agencies and aerospace companies are all ...

This project provides a Python-based toolkit for tracking and analyzing the actuation of cantilever beams from video data. It leverages OpenCV and scientific Python libraries to extract quantitative ...

From the perspective of object state modeling, visual object tracking can be regarded as a unified process that combines object state estimation and object localization. In this framework, state ...

Learn how to create professional screen replacements using AI and After Effects VFX tracking! Step-by-step tutorial for seamless and realistic results in your videos. #AfterEffects #VFXTutorial ...

Abstract: The object point clouds acquired by the original LiDAR are inherently sparse and incomplete, resulting in suboptimal single object tracking (SOT) precision for 3D bounding boxes, especially ...