interior environment
Recently Published Documents


TOTAL DOCUMENTS

92
(FIVE YEARS 23)

H-INDEX

7
(FIVE YEARS 0)

Author(s):  
Yanfeng Tang ◽  
Chenchen Wei ◽  
Shoulong Cheng ◽  
Zhi Huang

Abstract This paper proposes an optimization-based stereo visual-inertial odometry (VIO) to locate indoor wheeled robots. Multiple Manhattan worlds assumption is adopted to model the interior environment. Instead of treating these worlds as isolated ones, we fuse the latest Manhattan world with the previous ones if they are in the same direction, reducing the calculated errors on the orientation of the latest Manhattan world. Then the structural lines which encode the orientation information of these worlds are taken as additional landmarks to improve positioning accuracy and reduce accumulated drift of the system, especially when the system is in a challenging environment (i.e., scenes with continuous turning and low textures). Besides, the structural lines are parameterized by only two variables, which improves the computational efficiency and simplifies the initialization of lines. Experiments on public benchmark datasets and in real-world environments demonstrate that the proposed VIO system can accurately position the wheeled robot in a complex indoor environment.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Chen Wang ◽  
Xudong Li ◽  
Xiaolin Tao ◽  
Kai Ling ◽  
Quhui Liu ◽  
...  

Navigation technology enables indoor robots to arrive at their destinations safely. Generally, the varieties of the interior environment contribute to the difficulty of robotic navigation and hurt their performance. This paper proposes a transfer navigation algorithm and improves its generalization by leveraging deep reinforcement learning and a self-attention module. To simulate the unfurnished indoor environment, we build the virtual indoor navigation (VIN) environment to compare our model and its competitors. In the VIN environment, our method outperforms other algorithms by adapting to an unseen indoor environment. The code of the proposed model and the virtual indoor navigation environment will be released.


2021 ◽  
Vol 4 (4) ◽  
pp. 91
Author(s):  
Kuang-Ting Huang ◽  
Meng-Yan Zhou

Taipei Metro, since its inception in 1996, has become the most important public transport option for commuters and travelers in the metropolitan Taipei area, delivering over two million daily rides. Nevertheless, the interior environment of Taipei Metro has a reputation for being disorienting, especially to the infrequent passengers. By incorporating the methods of behavioral mapping and visibility analysis, this study argues that the occurrence of disorientation is highly dependent on visual properties of Taipei Metro’s interior layout. Specifically, the number of decision-making stops and the visibility conditions of stairs and escalators are found to be particularly influential. To enhance the passengers’ wayfinding experience, a mobile application comprised of two components is proposed. The Route Planner is to advise the passengers to avoid the areas that cause disorientation, while the Navigator, by providing the panoramic views of certain locations, can help the passengers reach their destinations more easily.


Author(s):  
S. Nikabadi ◽  
H. Zabihi ◽  
A. Shahcheraghi

Objectives: This study aims to investigate the effective environmental factors of hospital rooms in patients’ recovery through data mining techniques. Background: Previous studies have shown the positive effect of the interior environment of the hospitals on patients’ recovery. The methods of these studies were mainly based on the evidence and patients’ perception while hospital environments are associated with a large amount of data that make them an appropriate case for data mining studies. But data mining studies in hospitals mainly focused on medical and management purposes rather than evaluating the interior environment condition. Methods: We analyzed the hospital information system data of a hospital using Python programming language and some of its libraries. Preprocessing and eliminating the outliers, labeling and clustering of diseases, data visualization and analysis, final evaluation, and concluding were done using the knowledge discovery in databases process. Results: Pearson coefficient value for rooms’ area was .5 and, respectively, for the distance from the ward entrance and nursing station were .75 and .70. The χ2 values for the variables of room types, location, and occupation were 24.62, 18.98, and 21.53, respectively, and for the beds’ location was 0.12. Conclusions: The results confirmed the correlation of the length of stay with the room types, location, and occupation, distance from the nursing station and ward entrance and also showed a moderate correlation with the rooms’ area. However, no evidence was found about the relationship between the beds’ location in rooms and patients’ length of hospital stay.


2021 ◽  
Vol 284 ◽  
pp. 03015
Author(s):  
Shahzod Egamberdiev ◽  
Mansurbek Kholmurotov ◽  
Erkin Berdiev ◽  
Temurmalik Ochilov ◽  
Rustam Oymatov ◽  
...  

This article presents the experimental results for determining the composition of the substrate, light and temperature for growing houseplants. Substrates were prepared in 8 different variants. The properties of the substrates were evaluated on the basis of 3 types: high, medium, and low. The amount of light required for the growth of houseplants is the result of a seasonal study. The effects of daily light fall and outdoor ambient temperature in the interior environment was studied for one year, and the results obtained were tabulated. According to the attitude of plants to light, they were divided into light-loving, semi-shade, shade-loving species.


Sign in / Sign up

Export Citation Format

Share Document