LiDAR is a technology that creates a 3D image of the area around a sensor by using laser pulses and sensors. LiDAR data with neural networks for autonomous vehicles is currently one of the most popular use cases. With a few essential adjustments, common neural networks have been employed to process LiDAR data.


LiDAR is a type of point cloud data that is collected using lasers. We use cuboid annotation and semantic segmentation, two 3D annotation approaches, to annotate 3D LiDAR data.


LiDAR data in 2D format can also be processed. These LiDAR images are annotated using 2D bounding boxes.