Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation

Yoshikatsu Nakajima, Keisuke Tateno, Federico Tombari, Hideo Saito

研究成果: Conference contribution

15 被引用数 (Scopus)

抄録

We propose an efficient and scalable method for incrementally building a dense, semantically annotated 3D map in real-time. The proposed method assigns class probabilities to each region, not each element (e.g., surfel and voxel), of the 3D map which is built up through a robust SLAM framework and incrementally segmented with a geometric-based segmentation method. Differently from all other approaches, our method has a capability of running at over 30Hz while performing all processing components, including SLAM, segmentation, 2D recognition, and updating class probabilities of each segmentation label at every incoming frame, thanks to the high efficiency that characterizes the computationally intensive stages of our framework. By utilizing a specifically designed CNN to improve the frame-wise segmentation result, we can also achieve high accuracy. We validate our method on the NYUv2 dataset by comparing with the state of the art in terms of accuracy and computational efficiency, and by means of an analysis in terms of time and space complexity.

本文言語English
ホスト出版物のタイトル2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ385-392
ページ数8
ISBN(電子版)9781538680940
DOI
出版ステータスPublished - 2018 12 27
イベント2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018 - Madrid, Spain
継続期間: 2018 10 12018 10 5

出版物シリーズ

名前IEEE International Conference on Intelligent Robots and Systems
ISSN(印刷版)2153-0858
ISSN(電子版)2153-0866

Conference

Conference2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
CountrySpain
CityMadrid
Period18/10/118/10/5

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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