Liu, Qiang and Li, Ruihao and Hu, Huosheng and Gu, Dongbing (2016) Extracting Semantic Information from Visual Data: A Survey. Robotics, 5 (1). p. 8. DOI https://doi.org/10.3390/robotics5010008
Liu, Qiang and Li, Ruihao and Hu, Huosheng and Gu, Dongbing (2016) Extracting Semantic Information from Visual Data: A Survey. Robotics, 5 (1). p. 8. DOI https://doi.org/10.3390/robotics5010008
Liu, Qiang and Li, Ruihao and Hu, Huosheng and Gu, Dongbing (2016) Extracting Semantic Information from Visual Data: A Survey. Robotics, 5 (1). p. 8. DOI https://doi.org/10.3390/robotics5010008
Abstract
The traditional environment maps built by mobile robots include both metric ones and topological ones. These maps are navigation-oriented and not adequate for service robots to interact with or serve human users who normally rely on the conceptual knowledge or semantic contents of the environment. Therefore, the construction of semantic maps becomes necessary for building an effective human-robot interface for service robots. This paper reviews recent research and development in the field of visual-based semantic mapping. The main focus is placed on how to extract semantic information from visual data in terms of feature extraction, object/place recognition and semantic representation methods.
Item Type: | Article |
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Uncontrolled Keywords: | semantic map; visual data; feature extraction; object recognition; place recognition; semantic representation |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 07 Jan 2021 10:15 |
Last Modified: | 30 Oct 2024 20:40 |
URI: | http://repository.essex.ac.uk/id/eprint/27667 |
Available files
Filename: Robotics-V5-N1-2016-1-22.pdf
Licence: Creative Commons: Attribution 3.0