Course info
This short course provides an introduction to LiDAR annotation, a crucial process in training and developing LiDAR-based perception models.
Participants will learn the fundamental concepts, techniques, and best practices for accurately annotating LiDAR data, enabling them to create high-quality labeled datasets for autonomous driving, robotics, and other LiDAR-based applications.
The course covers various annotation types, tools, quality control methods, and industry standards, ensuring participants gain practical skills to effectively annotate LiDAR data.
- Teacher: kainde mutua