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EVOPS Benchmark: Evaluation of Plane Segmentation from RGBD and LiDAR Data

2022-04-12 13:34:40
Anastasiia Kornilova, Dmitrii Iarosh, Denis Kukushkin, Nikolai Goncharov, Pavel Mokeev, Arthur Saliou, Gonzalo Ferrer
arXiv_RO
       
Abstract

This paper provides the EVOPS dataset for plane segmentation from 3D data, both from RGBD images and LiDAR point clouds (PC). We have designed two annotation methodologies (RGBD and LiDAR) running on well-known and widely-used datasets and we have provided a complete set of benchmarking tools including point, planes and segmentation metrics. The data includes a total number of 10k RGBD and 7K LiDAR frames over different selected scenes which consist of high quality segmented planes. The experiments report quality of SOTA methods for RGBD plane segmentation on our annotated data. All labeled data and benchmark tools used have been made publicly available.

Abstract (translated)

URL

https://arxiv.org/abs/2204.05799

PDF

https://arxiv.org/pdf/2204.05799.pdf

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