LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection

Understand

Over the past few years, there has been remarkable progress in research on 3D point clouds and their use in autonomous driving scenarios has become widespread.

• However, deep learning methods heavily rely on annotated data and often face domain generalization issues.
• Unlike 2D images whose domains usually pertain to the texture information present in them, the features derived from a 3D point cloud are affected by the distribution of the points.
• The lack of a 3D domain adaptation benchmark leads to the common practice of training a model on one benchmark (e.g.