In this two-part series, we demonstrate how to label and train models for 3D object detection tasks. In part 1, we discuss the dataset we’re using, as well as any preprocessing steps, to understand and label data. In part 2, we walk through how to train a model on your dataset and deploy it to production.
LiDAR (light detection and ranging) is a method for determining ranges by targeting an object or surface with a laser and measuring the time for the reflected light to return to the receiver. Autonomous vehicle companies typically use LiDAR sensors to generate a 3D understanding of the environment around their vehicles.
As LiDAR sensors become more accessible and cost-effective, customers are increasingly using point cloud data in new spaces like robotics, signal mapping, and augmented reality. Some new mobile devices even include LiDAR sensors. The growing availability of LiDAR sensors has increased interest in

Continue reading