Modern smartphones are packed with incredible technology, from high-resolution cameras and advanced graphics chips to AI processors. In premium models, this hardware includes LiDAR (light detection ...

The following figure outlines the high level structure of the algorithm, which covers the tasks of multi-modal sensor fusion and object tracking. The algorithm is developed for the Indy Autonomous ...

Project is meant to provide a simple yet powerful baseline for multiple object tracking without the hassle of writing the obvious algorithm stack yourself. - tracking by detection paradigm - IOU + ...

Astronomers are monitoring an object headed our way that may have wandered over from another star system.Scientists have discovered what might be only the third known interstellar object to pass ...

While the Monona Grove track and field team only qualified for state in one event last year, they made their trip to La Crosse a memorable one. Dani Witte, a freshman, medaled in the Division 1 ...

Abstract: Aiming at the problem that the multi-object tracking algorithm is difficult to accurately design the object feature model and data association algorithm in the process of unmanned vehicle ...

Abstract: Tracking multiple tiny objects is highly challenging due to their weak appearance and limited features. Existing multi-object tracking algorithms generally focus on single-modality scenes, ...

This article presents a novel target tracking algorithm for hyperspectral low altitude UAV, combining deep learning with an improved Kernelized Correlation Filter (KCF). Initially, an image noise ...