Abstract:Inertial odometry is a typical localization method that is widely and easily accessible in many devices. Pedestrian positioning can benefit from this approach based on inertial measurement unit (IMU) values embedded in smartphones. Fitting the inertial odometry outputs, namely step length and step heading of a human for instance, with spatial information is an ubiquitous way to correct for the cumulative noises. This so-called map-matching process can be achieved in several ways. In this paper, a novel real-ti… Show more
“…Harder et al [ 7 ] also use an IMU but embedded in the smartphone. They propose a novel real-time map-matching approach that was developed using a backtracking particle filter, which reduces complexity and improves flexibility.…”
Section: Contributions To the Special Issuementioning
Locating devices in indoor environments has become a key issue for many emerging location-based applications and intelligent spaces in different fields [...]
“…Harder et al [ 7 ] also use an IMU but embedded in the smartphone. They propose a novel real-time map-matching approach that was developed using a backtracking particle filter, which reduces complexity and improves flexibility.…”
Section: Contributions To the Special Issuementioning
Locating devices in indoor environments has become a key issue for many emerging location-based applications and intelligent spaces in different fields [...]
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