Researchers have developed a new kind of lidar system that simultaneously measures the location, speed and material ...

Accurate information on body weight is important for dairy-cattle management, including feeding, health monitoring, treatment decisions, and breeding-related assessment. However, routine weighing of ...

The inherent noisy and sparse characteristics of radar data pose challenges in finding effective representations for 3D object detection. In this paper, we propose RadarDistill, a novel knowledge ...

In the first part of this blog series we got the Rayfin app scaffolded and deployed to Fabric with a rudimentary 3D model and some procedurally generated terrain. In this post we will dig deeper on ...

Last time, I worked hard on taking point cloud data from a Terrestrial Laser Scanner (TLS), slicing the standing trees at arbitrary intervals to extract data, and drawing relative stem curves. The ...

As a condition of using these data, you must cite the use of this data set. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Other ...

People go back and forth between paper drawings and computer screens time and time again. They open a file in one piece of software, transfer it to another, cross-reference it with handwritten notes, ...

The power of Python trumps Excel workbooks.

These prompt engineering courses can help you refine and structure natural language requests to get the most out of generative AI. If you can only read one tech story a day, this is it. We use cookies ...

This Research Topic addresses critical limitations in conventional remote sensing for monitoring terrestrial ecosystems ...

In real-world environments, a LiDAR point cloud registration method with robust generalization capabilities (across varying distances and datasets) is crucial for ensuring safety in autonomous driving ...