
In this paper, we focus on classical depth-sensing techniques Light Detection and Ranging (LiDAR) and Sound Navigation and Ranging (Sonar). To simplify the training data generation process for a wide range of domains, we have developed the BLAINDER add-on package for the open-source 3D modeling software Blender, which enables a largely automated generation of semantically annotated point-cloud data in virtual 3D environments. However, for classification of depth sensor data, in contrast to image data, relatively few databases are publicly available and manual generation of semantically labeled 3D point clouds is an even more time-consuming task. The file used to generate the images is here - Saved in Blender 2.83.Common Machine-Learning (ML) approaches for scene classification require a large amount of training data.


Add an area light, make it small, and check the 'Laser' box.

By projecting a laser through a volume, the path of the laser is visible. It includes lasers and mirrors as light sources and materials. LuxCoreRenderer is a physically based renderer that can be added to Blender.
