A Research on the Fusion of Semantic Segment Network and SLAM

Zhuo Chen, Weimin Zhang*, Fangxing Li, Yongliang Shi, Yang Wang, Fuyu Nie, Chi Zhu, Qiang Huang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

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摘要

The development of traditional SLAM technology has gradually encountered bottlenecks in recent years. With deep learning, especially vision-based machine learning, a new and improved way of development has been found for SLAM named Semantic SLAM. The study of semantic SLAM has been a very hot topic in recent years. However, the related research is still in its infancy and is not systematic. In this paper, we will discuss the existing SLAM systems, semantic segmentation networks and semantic SLAM systems, introduce secondly the multiple effects of semantic network on localization, mapping and their applications, and finally put forward an idea of semantic Fusion.

源语言英语
主期刊名2019 IEEE International Conference on Advanced Robotics and its Social Impacts, ARSO 2019
出版商IEEE Computer Society
304-309
页数6
ISBN(电子版)9781728131764
DOI
出版状态已出版 - 10月 2019
活动15th IEEE International Conference on Advanced Robotics and its Social Impacts, ARSO 2019 - Beijing, 中国
期限: 31 10月 20192 11月 2019

出版系列

姓名Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
2019-October
ISSN(印刷版)2162-7568
ISSN(电子版)2162-7576

会议

会议15th IEEE International Conference on Advanced Robotics and its Social Impacts, ARSO 2019
国家/地区中国
Beijing
时期31/10/192/11/19

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引用此

Chen, Z., Zhang, W., Li, F., Shi, Y., Wang, Y., Nie, F., Zhu, C., & Huang, Q. (2019). A Research on the Fusion of Semantic Segment Network and SLAM. 在 2019 IEEE International Conference on Advanced Robotics and its Social Impacts, ARSO 2019 (页码 304-309). 文章 8948779 (Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO; 卷 2019-October). IEEE Computer Society. https://doi.org/10.1109/ARSO46408.2019.8948779