Multi-Objective Location and Mapping Based on Deep Learning and Visual Slam

Multi-Objective Location and Mapping Based on Deep Learning and Visual Slam

Simultaneous localization and mapping (SLAM) technology can be used to locate and build maps in unknown environments, but the constructed maps often suffer from poor readability and interactivity, and the primary and secondary information in the map cannot be accurately grasped. For intelligent robo...

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Bibliographic Details
Main Authors: Ying Sun, Jun Hu, Juntong Yun, Ying Liu, Dongxu Bai, Xin Liu, Guojun Zhao, Guozhang Jiang, Jianyi Kong, Baojia Chen
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
deep learning
target tracking
visual SLAM
multi-objective location
semantic mapping
Online Access:https://www.mdpi.com/1424-8220/22/19/7576

Internet

https://www.mdpi.com/1424-8220/22/19/7576

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