scholarly journals Fukuoka datasets for place categorization

2019 ◽  
Vol 38 (5) ◽  
pp. 507-517 ◽  
Author(s):  
Oscar Martinez Mozos ◽  
Kazuto Nakashima ◽  
Hojung Jung ◽  
Yumi Iwashita ◽  
Ryo Kurazume
Keyword(s):  
Urban Areas ◽  
Residential Area ◽  
Coastal Areas ◽  
Depth Information ◽  
Residential Areas ◽  
Outdoor Environments ◽  
Indoor And Outdoor Environments ◽  
Robotic Agent ◽  
Indoor And Outdoor

This paper presents several multi-modal 3D datasets for the problem of categorization of places. In this problem. a robotic agent should decide on the type of place/environment where it is located (residential area, forest, etc.) using information gathered by its sensors. In addition to the 3D depth information, the datasets include additional modalities such as RGB or reflectance images. The observations were taken in different indoor and outdoor environments in Fukuoka city, Japan. Outdoor place categories include forests, urban areas, indoor parking, outdoor parking, coastal areas, and residential areas. Indoor place categories include corridors, offices, study rooms, kitchens, laboratories, and toilets. The datasets are available to download at http://robotics.ait.kyushu-u.ac.jp/kyushu_datasets .

scholarly journals Multifeature Image Indexing for Robot Localization in Textureless Environments

Robotics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 37
Author(s):  
Tran Duc Dung ◽  
Delowar Hossain ◽  
Shin-ichiro Kaneko ◽  
Genci Capi
Keyword(s):  
Image Matching ◽  
Robot Navigation ◽  
Image Indexing ◽  
Mobile Robot Navigation ◽  
Depth Information ◽  
Robot Localization ◽  
Histogram Of Oriented Gradients ◽  
Outdoor Environments ◽  
Indoor And Outdoor Environments ◽  
Indoor And Outdoor

Robot localization is an important task for mobile robot navigation. There are many methods focused on this issue. Some methods are implemented in indoor and outdoor environments. However, robot localization in textureless environments is still a challenging task. This is because in these environments, the scene appears the same in almost every position. In this work, we propose a method that can localize robots in textureless environments. We use Histogram of Oriented Gradients (HOG) and Speeded Up Robust Feature (SURF) descriptors together with Depth information to form a Depth-HOG-SURF multifeature descriptor, which is later used for image matching. K-means clustering is applied to partition the whole feature into groups that are collectively called visual vocabulary. All the images in the database are encoded using the vocabulary. The experimental results show a good performance of the proposed method.

scholarly journals Health Effects and Exposure Assessment to Bioaerosols in Indoor and Outdoor Environments

Atmosphere ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 359
Author(s):  
Ewa Brągoszewska
Keyword(s):  
Exposure Assessment ◽  
Health Effects ◽  
Special Issue ◽  
Outdoor Environments ◽  
Indoor And Outdoor Environments ◽  
Indoor And Outdoor

The Atmosphere Special Issue entitled “Health Effects and Exposure Assessment to Bioaerosols in Indoor and Outdoor Environments” comprises five original papers [...]

Development of Efficiency in Visual Functioning: Rationale for a Comprehensive Program

1979 ◽  
Vol 73 (4) ◽  
pp. 121-126 ◽  
Author(s):  
Natalie C. Barraga ◽  
Marcia E. Collins
Keyword(s):  
Visual System ◽  
Visual Functioning ◽  
Comprehensive Program ◽  
Outdoor Environments ◽  
Visual Tasks ◽  
Indoor And Outdoor Environments ◽  
Indoor And Outdoor

The rationale for a comprehensive program in visual functioning is based upon an assumed interaction between: (a) functions performed by the visual system, (b) developmental visual tasks organized in keeping with perceptual/cognitive milestones, and (c) a variety of indoor and outdoor environments.

The Green Building Environment of the Gymnasium

2018 ◽  
Vol 878 ◽  
pp. 202-209 ◽  
Author(s):  
Feng Qian ◽  
Li Yang
Keyword(s):  
Natural Ventilation ◽  
Residential Buildings ◽  
Green Building ◽  
Residential Area ◽  
Simulation Software ◽  
Living Environment ◽  
Outdoor Environment ◽  
Residential Areas ◽  
Outdoor Environments ◽  
Area Planning

The natural ventilation of residential areas has placed more and more emphasis on residential area planning, according to the relationship between natural ventilation environments and the layout of architecture, we can reduce the energy consumption and the adverse effect of wind outdoors, improve the living environment and quality of life, making harmony between human and the nature. In this paper, we use Air-Pak to simulate the wind environment of residential areas. Through analyzing and simulating the air field which forms when the wind blows around the residential buildings by Air-Pak, we explain the advantage of the combination of computer simulation software and residential area planning. And we give some advice to the layout of the outdoor environment early in the residential planning area by the simulation of outdoor environments of buildings.

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