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Extracting Semantic Information from Visual Data: A Survey

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. ISSN 2218-6581

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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
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: Elements
Depositing User: Elements
Date Deposited: 07 Jan 2021 10:15
Last Modified: 15 Jan 2022 01:25

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