LiDAR training data best practices

Accurate LiDAR classification and segmentation is required for developing critical ADAS and Autonomous Vehicles components. Mainly, its required for high definition mapping and developing perception and path/motion planning algorithms. This talk will cover best practices for how to accurately annotate and benchmark your AV/ADAS models against LiDAR ground truth training data.

Speaker: Mohammad Musa, Deepen AI