Pedestrian localisation in the typical indoor environments
- PDF / 5,248,376 Bytes
- 34 Pages / 439.37 x 666.142 pts Page_size
- 98 Downloads / 220 Views
Pedestrian localisation in the typical indoor environments Soumen Kanrar 1,2
3
& Kanika Dawar & Abhishek Pundir
4
Received: 29 April 2019 / Revised: 25 April 2020 / Accepted: 29 June 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
The world is adopting complete wireless infrastructure to cover small size buildings as well as large geographical regions. Indoor Positioning System (IPS) is used to locate stationary as well as non-stationary objects in the wireless domain. The indoor localisation of a pedestrian remains an open problem in the noisy environment. Researchers are trying to develop lowcomplexity approach without depending on building infrastructure to achieve accurate and reliable results for pedestrian localisation in noisy environment. We are proposed the problem associated with improving localisation scalability and accuracy by considering the noisy environment. Our propose methodology exhibits robustness and portability with respect to the number of experiments in noisy environment with the help of captured signal strength. The propose methodology is easily applied in various indoor environments (i.e. different building designs) to locate the stationary and non-stationary object. The collected multimodal data of non-stationary targets in the noisy environment is required to enhance further. The collected multimodal data is used to explore specific movement of the pedestrian in the noisy environment. We consider numerical methods to make the shape of hot-spot contour for a specific target. Principal Component Analysis (PCA) based data science is used to obtain the predominant components in the collected information and make a compact contour in the noisy environment. The generated model depicts a highly sensitive region in the noisy environment due to the presence of thick walls inside the building and multipath fading. Our novel methodology exhibits efficient localisation of the non-stationary target or precisely identifies the moving object, on the floor of a multi- storey building. Our novel approach enhances the technique to improve surveillance and security for the noisy indoor environment.
* Soumen Kanrar [email protected]
1
Department of Computer Science & Engineering, DIT University, Dehradun 248009, India
2
Department of Computer Science, Vidyasagar University, Midnapore 721102, India
3
Airtel Center, Phase IV, Sector 18, Gurugram 122008, India
4
GeekyAnts, Bengaluru, Karnataka 560076, India
Multimedia Tools and Applications
Keywords Localisation . WiFi . RSS . Wireless LAN . Wireless access point . Data science
1 Introduction Nowadays, indoor positioning systems make great hype among researchers to find the location of a human or a mobile device. An indoor positioning system has vast applications in versatile avenues. The location information provides important source of context for ubiquitous computing systems. Some of the first ubiquitous computing systems come out of research laboratories made use of location information. This t
Data Loading...
