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.
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- Teacher: Abigael Rop
- Teacher: Catherine Alungwa
- Teacher: Abigael Rop
- Teacher: Catherine Alungwa
- Teacher: Jusper Ochieng
- Teacher: Abigael Rop
- Teacher: Catherine Alungwa
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- Teacher: Evalyne Kimani
- Teacher: Kelvin Kimeu
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- Teacher: Abigael Rop
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- Teacher: Catherine Alungwa
- Teacher: Jusper Ochieng