SUSTech POINTS: A Portable 3D Point Cloud Interactive Annotation Platform System
Eric Li, Shuaijun Wang, Chengyang Li, Dachuan Li, Xiangbin Wu, Qi Hao
Abstract
The major challenges of developing 3D point cloud annotation systems for autonomous driving datasets include convenient user-data interfaces, efficient operations on geometric data units, and scalable annotation tools. This paper presents a Portable pOint-cloud Interactive aNnotation plaTform System (i.e. SUSTech POINTS), which contains a set of user-friendly interfaces and efficient annotation tools to help achieve high-quality data annotations with high efficiency. The novelty of this work is threefold: (1) developing a set of visualization modules for fast annotation error localization and convenient annotator-data interactions; (2) developing a set of interactive tools for annotators labeling 3D point clouds and 2D images in high speed; (3) developing an annotation transfer method to label the same objects in different data frames. The developed POINTS system is tested with public datasets such as KITTI and a private dataset (SUSTech SCAPES). The experimental results show that the developed platform can help improve the annotation accuracy and efficiency compared with using other open-source annotation platforms.