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

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 ...

Elon Musk has long claimed that his cars don't need extra sensors like lidar and radar to become autonomous. Teslas should be able to drive themselves using only cameras and computing power, he has ...

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, ...

A recent BVLOS lidar operation for a regional electric utility showcases how long-range corridor inspections can be highly cost-effective.

The annual Florida Python Challenge is only a few weeks away, but participants will have trouble matching a new record set ...

Mistral AI's OCR 4 delivers structured document intelligence with bounding boxes, confidence scores, and self-hosted ...