Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Build a measurement framework that compares Google, Meta, Microsoft, and Amazon ad performance fairly using layered ...

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 + ...

Summary: A new attention model reveals how the human brain allocates limited perceptual resources to focus on goal-relevant information in dynamic environments. Researchers developed “adaptive ...

Researchers at Duke University have developed a system called SonicSense that gives robots a sense of touch by “listening” to vibrations. The researchers said this allows the robots to identify ...

Imagine sitting in a dark movie theater wondering just how much soda is left in your oversized cup. Rather than prying off the cap and looking, you pick up and shake the cup a bit to hear how much ice ...

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 ...

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 ...