Extracting Semantic Information from Visual Data: A Survey

Extracting Semantic Information from Visual Data: A Survey

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. T...

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Bibliographic Details
Main Authors: Qiang Liu, Ruihao Li, Huosheng Hu, Dongbing Gu
Format: Article
Language:English
Published: MDPI AG 2016-03-01
Series:Robotics
Subjects:
semantic map
visual data
feature extraction
object recognition
place recognition
semantic representation
Online Access:http://www.mdpi.com/2218-6581/5/1/8
Description
Summary: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.
ISSN:2218-6581

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