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Semantic information for robot navigation: A survey
There is a growing trend in robotics for implementing behavioural mechanisms based on
human psychology, such as the processes associated with thinking. Semantic knowledge …
human psychology, such as the processes associated with thinking. Semantic knowledge …
Semantic map** for mobile robotics tasks: A survey
The evolution of contemporary mobile robotics has given thrust to a series of additional
conjunct technologies. Of such is the semantic map**, which provides an abstraction of …
conjunct technologies. Of such is the semantic map**, which provides an abstraction of …
Unsupervised learning to detect loops using deep neural networks for visual SLAM system
X Gao, T Zhang - Autonomous robots, 2017 - Springer
This paper is concerned of the loop closure detection problem for visual simultaneous
localization and map** systems. We propose a novel approach based on the stacked …
localization and map** systems. We propose a novel approach based on the stacked …
[HTML][HTML] 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 …
topological ones. These maps are navigation-oriented and not adequate for service robots …
A survey of image semantics-based visual simultaneous localization and map**: Application-oriented solutions to autonomous navigation of mobile robots
L ** is essentially restricted to simplex environmental …
Image moment invariants as local features for content based image retrieval using the bag-of-visual-words model
This paper presents an image retrieval framework that uses affine image moment invariants
as descriptors of local image areas. Detailed feature vectors are generated by feeding the …
as descriptors of local image areas. Detailed feature vectors are generated by feeding the …
Robot navigation via spatial and temporal coherent semantic maps
The ability of mobile robots to sense, interpret and map their environments in human terms is
decisive for their applicability to everyday activities hereafter. Bearing this view in mind, we …
decisive for their applicability to everyday activities hereafter. Bearing this view in mind, we …
Localization from semantic observations via the matrix permanent
Most approaches to robot localization rely on low-level geometric features such as points,
lines, and planes. In this paper, we use object recognition to obtain semantic information …
lines, and planes. In this paper, we use object recognition to obtain semantic information …
Enhancing satellite semantic maps with ground-level imagery
The paper at hand introduces a novel system for producing an enhanced semantic map that
leverages a reconstruction approach of street-view scenes using computer vision and …
leverages a reconstruction approach of street-view scenes using computer vision and …
Robot navigation in large-scale social maps: An action recognition approach
As robots tend to establish their presence in every day human environments the necessity
for them to attain socially acceptable behavior is a condition sine qua non. Consequently …
for them to attain socially acceptable behavior is a condition sine qua non. Consequently …