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 ...

Thanks to a new system called goROBOT3D, developed by researchers at the Fraunhofer Institute for Applied Optics and ...

The model was first used for 2D object detection and then modified for 3D objects," he elaborates. The team fed the collected RGB images and point cloud data as input to YOLOv3, which, in turn ...

LiDAR is one of the vital sensors for perception tasks such as vehicle tracking, drivable region segmentation and object detection. The point cloud created by LiDARs supplies 3D spatial ...

3D action was Unity’s original purpose and it ... first (which basically makes things into solid objects by giving them collision detection) and ‘RigidBody’. RigidBody is basically a ...

Researchers at Ritsumeikan University hope they’ve developed an adequate solution. Specifically, the ability to detect 3D objects is a key part of autonomous car functioning. Many existing ...

These models have a wide range of applications from 3D object detection (e.g. cars, pedestrians,etc) to point cloud’s registration (e.g. 3D indoors mapping). For instance, 3D object detection is ...

This week, he finally took his work public, posting a playable beta version that runs through the Unity Web ... in how to detect specific objects and create good-looking 3D models for them.