Now, a team of researchers has developed a novel Internet-of-Things-enabled deep learning-based end-to-end 3D object detection system with improved detection capabilities even under unfavorable ...

Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...

Real-world vision systems rely on 3D object detection, which is critical in developing perception capabilities for AVs and mobile autonomous robots. But what’s the best approach ...

Here is how to perform testing of the Point-GNN algorithm using LiDAR data in the simulated environment for autonomous vehicle designs.

Abstract 3D object detection is an essential task in autonomous driving. Recent techniques excel with highly accurate detection rates, provided the 3D input data is obtained from precise but expensive ...

Apple researchers are pushing forward with efforts to bring autonomous vehicle systems to public roads, and last week published an academic paper outlining a method of detecting objects in 3D ...

GlobalData uncovers the leading innovators in LiDAR for 3D object detection for the automotive industry.

With ARKit 2.0, Apple said it's improving face tracking, realistic rendering, support for 3D object detection and persistent experiences.

Last year, Albert Hwang debuted the Wiremap, an array of tightly-strung cables that, with a projector, could be used to create visual 3D models. Boiled… ...