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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.
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Eric Li
Shaanxi Normal University
Shuaijun Wang
Jiangsu University
Chengyang Li
Lingnan Normal University
Harbin Institute of Technology
Intel (United States)
Southern University of Science and Technology
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Li et al. (Mon,) studied this question.
synapsesocial.com/papers/69dd5f2780eea7d3f699c1f9 — DOI: https://doi.org/10.1109/iv47402.2020.9304562
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