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 ...

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, ...

Researchers have developed a new LiDAR approach that makes it possible to image small objects with much greater precision and ...

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

CData Software is launching three products for developers building AI applications on enterprise data: Connect AI Developer Edition (free), the CData Connect AI Python SDK (open source), and CData CLI ...

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