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By mining of the requirements of lots of electric vehicle users for charging piles, this paper proposes the charging pile siting algorithm via the fusion of Points of Interest and vehicle trajectories. The proposed algorithm computes appropriate charging pile locations by: 1) mining user Points of Interest from social network; 2) mining parking sites of vehicle form GPS trajectories and 3) fusing...
GPS is a widely-used locating technology. However, since satellite signal cannot penetrate buildings, different signal resources, such as Bluetooth and Wi-Fi, are necessary for conducting indoor positioning. In this research, we consider the positioning of indoor Wi-Fi APs basing on users' acquired signals. Our scheme “Indoor AP Positioning(IAP)” is composed by three steps: (1) Centrifugal Direction(CD)...
Battery-free sensor networks are an emerging field with very promising applications. Passive sensors without batteries can resist extreme conditions and can be placed in practically any location, and do not need replacement for a long time. They are the perfect candidates for some of the applications we propose in this paper. Currently they are being used for structure analysis, assembly line control,...
Nowadays, with the development of navigation and location, many kinds of outdoor locating methods are surveyed and used, such as Global Position System (GPS) and LTE fingerprint-based positioning system. However, as the most compelling focus, the localization accuracies of these systems are limited by the location systems themselves. Therefore, in order to improve the localization accuracy, we should...
Recently, utilization of position information by global navigation satellite system (GNSS) is expected in various fields. However, it's difficult to show unambiguously accuracy since positioning accuracy varies by measurement environment. We bring sky view factor (SVF) to evaluation of positioning accuracy, and evaluate it positioning accuracy of long time data in the places where SVF are high or...
In the paper, a system for real-time positioning is proposed. Developed signal processing algorithms for precise user localization and navigation are described. It is demonstrated that proper calibration and received signal filtering leads to improvement of positioning accuracy. Peculiarities of Bluetooth Low Energy beacons as signal sources are considered. Key components of the created software development...
This paper presents a scheme which aims to track patients in hospitals and to generate the suggestion information to the patients. In this scheme, hardware like location tracking devices such as GPS, WiFi positioning system, Bluetooth Low Energy (BLE), and RFID is not required. Instead, the proposed system entirely relies on the existing data in the Hospital Information System (HIS). The data analytics...
This paper introduces an efficient probabilistic approach with RSSI fingerprinting for Indoor Localization. A Shannon's Entropy based access points (APs) selection is considered. Once the APs selection is performed, a probability is assigned to each training fingerprint based on RSSI measurements. Then, the user's location is estimated as a combination of training positions weighted with their corresponding...
While the Global Positioning System (GPS) tends to be not useful anymore in terms of precise localization once one gets into a building, Low Energy beacons might come in handy instead. Navigating free of signal reception problems throughout a building when one has never visited that place before is a challenge tackled with indoors localization. Using Bluetooth Low Energy1 (BLE) beacons (either iBeacon...
The wide availability of GPS-enabled devices has fueled the development of location-based applications. Among the most popular are navigation applications that guide users along their way. Due to the limited availability and precision of GPS in typical indoor environments, most navigation applications are limited to outdoor scenarios. To mitigate this, researchers and practitioners have been developing...
In this paper, we investigate an effect on group detection based on human proximity depending on RSSI values, measured by BLE signals. To realize the investigation, we present a novel method for detecting groups. In the method, we developed a smartphone application for measurement of RSSI values of BLE, and determine a threshold of RSSI values which selected experimentally by making the propagation...
The recent developments in the area of mobile technologies have enabled the diffusion of augmented reality. This article explores new possibilities for leveraging the power of augmented reality, further to its typical use as a means for projecting virtual content over physical objects. That is, it investigates the potential of augmented reality as a tool for participatory content creation and sharing...
In this paper, we address the problem of cross-view image geo-localization. Specifically, we aim to estimate the GPS location of a query street view image by finding the matching images in a reference database of geo-tagged birds eye view images, or vice versa. To this end, we present a new framework for cross-view image geo-localization by taking advantage of the tremendous success of deep convolutional...
Unmanned aerial vehicle (UAV) is attractive for localization where global positioning system (GPS) satellites are uncapturable and wireless anchor nodes are unavailable. The advantage of localization using UAVs is their movability, that is, even when only few UAVs are available, if each of them ranges a target node many times from different locations, the localization accuracy can be improved, because...
LoRaWAN is a relatively recent Low-Power Wide Area Network specification intended to support wireless battery operated devices for low data rate applications such as infrastructure monitoring, transportation, asset tracking, security, and health care. While it is clear that heavily built- up areas such as the Central Business District (CBD) of typical cities offer the greatest density of potential...
This paper proposes a lane marking detection method for automated driving in complex urban roads to be used with map-matching localization algorithms. First, a LiDAR based lane detection and map matching algorithm is explained and a lane marking detection algorithm using AVM (Around View Monitor) cameras is presented. The AVM camera based lane marking detection algorithm includes camera calibration,...
Tracking people and localizing objects within indoor environments have become a necessity and thus motivated many researchers to tackle this challenge. Indoor positioning systems (IPSs) have been proposed using several technologies and efforts are honing down on mitigating the positioning error. The Received Signal Strength (RSS)-fingerprint based IPS has been recognized as one of the possible most...
In this research, we conduct a comprehensive measurement study on the predictability of human mobility with respect to demographic differences. We leverage an extensive WLAN dataset collected on a large university campus. Specifically, our dataset includes over 41 million WLAN entries gathered from over 5,000 students (with demographic information) during a four-month period in 2015. We observed surprising...
This paper focuses on issues of device navigation in a specific environment with the possibility of environment recognition, in which the device is currently located. The purpose of the paper is presentation of the system which could be a solution for autonomous navigation system of discussed types of devices for ground and aerial traffic. We are aware of the fact that similar products are available...
We propose a vision-based method that localizes a ground vehicle using publicly available satellite imagery as the only prior knowledge of the environment. Our approach takes as input a sequence of ground-level images acquired by the vehicle as it navigates, and outputs an estimate of the vehicle's pose relative to a georeferenced satellite image. We overcome the significant viewpoint and appearance...
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