In this paper1 we present an indoor localization system based on particle filter and multiple sensor data like acceleration, angular velocity and compass data. With this approach we tackle the problem of documentation on large building yards during the construction phase. Due to the circumstances of such an environment we cannot rely on any data from GPS, Wi-Fi or RFID. Moreover this work should serve us as a first step towards an all-in-one navigation system for mobile devices. Our experimental results show that we can achieve high accuracy in position estimation. Keywords: indor navigation, particle filter, sensor fusion, mobile devices
We propose a graph-based, low-complexity sensor fusion ap-proach for ubiquitous pedestrian indoor po...
WiFi fingerprinting is the method of recording WiFi signal strength from access points (AP) along wi...
Indoor positioning has emerged in recent years for providing navigation information indoors and for ...
In this paper we present an indoor localization system based on particle filter and multiple sensor ...
This paper considers the problem of indoor navigation by means of low-cost mobile devices. The requi...
In this research, a non-infrastructure-based and low-cost indoor navigation method is proposed throu...
We present a real-time particle filter for 2D and 3D hybrid indoor positioning. It uses wireless loc...
Current GPS navigation systems have proven to be capable of navigating a user in outdoor locations. ...
Location-based services for smartphones are becoming more and more popular. The core of location-bas...
As sensor-rich mobile devices became a commodity, more opportunities appeared for the creation of lo...
The knowledge of the exact location of an object or person is an important enabler for a wide variet...
Indoor positioning has emerged in recent years for providing navigation information indoors and for ...
Indoor localization with a significant degree of precision is extremely challenging. In this paper, ...
We present a hybrid indoor positioning solution combining angle-based localization, pedestrian dead ...
After decades of research, there is still no solution for indoor localization like the GNSS (Global ...
We propose a graph-based, low-complexity sensor fusion ap-proach for ubiquitous pedestrian indoor po...
WiFi fingerprinting is the method of recording WiFi signal strength from access points (AP) along wi...
Indoor positioning has emerged in recent years for providing navigation information indoors and for ...
In this paper we present an indoor localization system based on particle filter and multiple sensor ...
This paper considers the problem of indoor navigation by means of low-cost mobile devices. The requi...
In this research, a non-infrastructure-based and low-cost indoor navigation method is proposed throu...
We present a real-time particle filter for 2D and 3D hybrid indoor positioning. It uses wireless loc...
Current GPS navigation systems have proven to be capable of navigating a user in outdoor locations. ...
Location-based services for smartphones are becoming more and more popular. The core of location-bas...
As sensor-rich mobile devices became a commodity, more opportunities appeared for the creation of lo...
The knowledge of the exact location of an object or person is an important enabler for a wide variet...
Indoor positioning has emerged in recent years for providing navigation information indoors and for ...
Indoor localization with a significant degree of precision is extremely challenging. In this paper, ...
We present a hybrid indoor positioning solution combining angle-based localization, pedestrian dead ...
After decades of research, there is still no solution for indoor localization like the GNSS (Global ...
We propose a graph-based, low-complexity sensor fusion ap-proach for ubiquitous pedestrian indoor po...
WiFi fingerprinting is the method of recording WiFi signal strength from access points (AP) along wi...
Indoor positioning has emerged in recent years for providing navigation information indoors and for ...