Nvidia's Alpamayo sells autonomy to automakers terrified of the software future—Tesla remains the only robotaxi-committed ...

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...

One year after deadly wildfires swept through Los Angeles County and destroyed thousands of homes, Southern California is ...

Abstract: The sustainability of cultural heritage is one of the grand challenges of the contemporary world. Part of preservation is long-term monitoring, and LiDAR techniques are exceptionally useful.

Abstract: Recent works have explored the automatic extraction of road marking features from sparse point clouds using convolutional neural networks (CNN) in an attempt to support the use of low-cost ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Robots that climb, mop, mow and manage daily chores are still in high demand, despite the industry’s continued challenges.

As lidar sensors on cars become increasingly common, it's important to be aware of how this system can potentially ruin the ...

Tesla’s long-promised robotaxi future is finally materializing on public roads, but not quite in the form Elon Musk once ...

A new type of lidar is allowing physicists to study cloud tops at a resolution 100 to 1,000 times higher than before.

Physical AI describes intelligent systems that can sense, interpret, and act in real environments. Think of self-driving cars ...

Business Insider got a tour of Rivian's lab in Palo Alto, where the EV maker's pivot to AI-defined vehicles began and will ...