Localization and positioning systems for emergency responders: A survey
The availability of a reliable and accurate indoor positioning system (IPS) for emergency
responders during on-duty missions is regarded as an essential tool to improve situational …
responders during on-duty missions is regarded as an essential tool to improve situational …
Fifteen years of progress at zero velocity: A review
Fifteen years have passed since the publication of Foxlin's seminal paper “Pedestrian
tracking with shoe-mounted inertial sensors”. In addition to popularizing the zero-velocity …
tracking with shoe-mounted inertial sensors”. In addition to popularizing the zero-velocity …
Deep-learning-based pedestrian inertial navigation: Methods, data set, and on-device inference
Modern inertial measurements units (IMUs) are small, cheap, energy efficient, and widely
employed in smart devices and mobile robots. Exploiting inertial data for accurate and …
employed in smart devices and mobile robots. Exploiting inertial data for accurate and …
Emerging information technologies for enhanced healthcare
The appropriate collection and consumption of electronic health information about an
individual patient or population is the bedrock of modern healthcare, where electronic …
individual patient or population is the bedrock of modern healthcare, where electronic …
Foot-mounted inertial navigation made easy
Despite being around for almost two decades, foot-mounted inertial navigation only has
gotten a limited spread. Contributing factors to this are lack of suitable hardware platforms …
gotten a limited spread. Contributing factors to this are lack of suitable hardware platforms …
A mobile Kalman-filter based solution for the real-time estimation of spatio-temporal gait parameters
Gait impairments are among the most disabling symptoms in several musculoskeletal and
neurological conditions, severely limiting personal autonomy. Wearable gait sensors have …
neurological conditions, severely limiting personal autonomy. Wearable gait sensors have …
PDRNet: A deep-learning pedestrian dead reckoning framework
Pedestrian dead reckoning is a well-known approach for indoor navigation. There, the
smartphone's inertial sensors readings are used to determine the user position by utilizing …
smartphone's inertial sensors readings are used to determine the user position by utilizing …
UWB/INS integrated pedestrian positioning for robust indoor environments
Y Zhang, X Tan, C Zhao - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Goal: Accurate robust ultra wideband (UWB) pedestrian indoor positioning becomes a
challenging task when faced with robust indoor environments such as non-line of sight …
challenging task when faced with robust indoor environments such as non-line of sight …
Oxiod: The dataset for deep inertial odometry
Advances in micro-electro-mechanical (MEMS) techniques enable inertial measurements
units (IMUs) to be small, cheap, energy efficient, and widely used in smartphones, robots …
units (IMUs) to be small, cheap, energy efficient, and widely used in smartphones, robots …
An extended Kalman filter for magnetic field SLAM using Gaussian process regression
We present a computationally efficient algorithm for using variations in the ambient magnetic
field to compensate for position drift in integrated odometry measurements (dead-reckoning …
field to compensate for position drift in integrated odometry measurements (dead-reckoning …