Case Study: Point Cloud Detection

This presentation will explore the use of point cloud detection statistics in long-range LiDAR for autonomous vehicles, instead of relying solely on object detection. Point cloud validation, which involves processing raw data, is a more accurate method of detecting small objects at long distances. The presentation will also discuss the challenges of working with large amounts of data and the importance of validation in ensuring the correct functioning of autonomous vehicles. The goal of this presentation is to show the advantages of using point cloud validation rather then focusing on object detection only.

Learn about a more accurate method of detecting small objects at long distances using point cloud detection statistics in long-range LiDAR
Understand the importance of validation in ensuring the correct functioning of autonomous vehicles
Discover how working with large amounts of data can be a challenge and how point cloud validation can help overcome this challenge.

Andreas Dellantonio