Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Allison Kealy"'
Publikováno v:
Navigation, Vol 70, Iss 2 (2023)
Robust aiding of inertial navigation systems in GNSS-denied environments is critical for the removal of accumulated navigation error caused by the drift and bias inherent in inertial sensors. One way to perform such an aiding uses matching of geophys
Externí odkaz:
https://doaj.org/article/7562a89d20a04611847ff1c1604cc899
Publikováno v:
Sensors, Vol 23, Iss 6, p 3217 (2023)
Inertial localisation is an important technique as it enables ego-motion estimation in conditions where external observers are unavailable. However, low-cost inertial sensors are inherently corrupted by bias and noise, which lead to unbound errors, m
Externí odkaz:
https://doaj.org/article/a2e69290bcbd4a7bb180339fb2cb83b3
Publikováno v:
IEEE Access, Vol 9, Pp 168806-168815 (2021)
Recursive attitude estimation of a rigid body from inertial measurements is a crucial component of many modern systems and as such, has a rich historical background of proposed techniques. Recent work has been done on tracking rotations using maximal
Externí odkaz:
https://doaj.org/article/8d1d5e050dcf44d38db56b568ef136d0
Publikováno v:
Sensors, Vol 22, Iss 22, p 9011 (2022)
Inertial attitude estimation is a crucial component of many modern systems and applications. Attitude estimation from commercial-grade inertial sensors has been the subject of an abundance of research in recent years due to the proliferation of Inert
Externí odkaz:
https://doaj.org/article/c7344f002ce643aab9d8406aca1bca48
Autor:
Andrea Masiero, Charles Toth, Jelena Gabela, Guenther Retscher, Allison Kealy, Harris Perakis, Vassilis Gikas, Dorota Grejner-Brzezinska
Publikováno v:
Remote Sensing, Vol 13, Iss 23, p 4858 (2021)
The availability of global navigation satellite systems (GNSS) on consumer devices has caused a dramatic change in every-day life and human behaviour globally. Although GNSS generally performs well outdoors, unavailability, intentional and unintentio
Externí odkaz:
https://doaj.org/article/39cc14ae663f4211817d71d069b79e4a
Publikováno v:
Sensors, Vol 21, Iss 4, p 1507 (2021)
This paper considers the two-dimensional (2D) anchorless localization problem for sensor networks in global positioning system (GPS)-denied environments. We present an efficient method, based on the multidimensional scaling (MDS) algorithm, in order
Externí odkaz:
https://doaj.org/article/6ff85d68a3d240078407c3cb5f791727
Publikováno v:
Sensors, Vol 15, Iss 12, Pp 30636-30652 (2015)
The recognition of locomotion activities (e.g., walking, running, still) is important for a wide range of applications like indoor positioning, navigation, location-based services, and health monitoring. Recently, there has been a growing interest in
Externí odkaz:
https://doaj.org/article/8bd02a166bb8461292922d2a50939fb8
Publikováno v:
Sensors, Vol 15, Iss 10, Pp 27251-27272 (2015)
The utility and adoption of indoor localization applications have been limited due to the complex nature of the physical environment combined with an increasing requirement for more robust localization performance. Existing solutions to this problem
Externí odkaz:
https://doaj.org/article/87c147bd5a7f4c59bb0ede3768f6d32f
Publikováno v:
Sensors, Vol 18, Iss 11, p 3860 (2018)
The diverse operating environments change GNSS measurement noise covariance in real time, and different GNSS techniques hold different measurement noise covariance as well. Mismodelling the covariance causes undependable filtering results and even de
Externí odkaz:
https://doaj.org/article/9788484e10d8472290bbb770efcd44d9
Development and Experimental Evaluation of a Low-Cost Cooperative UAV Localization Network Prototype
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 7, Iss 4, p 42 (2018)
Precise localization is one of the key requirements in the deployment of UAVs (Unmanned Aerial Vehicles) for any application including precision mapping, surveillance, assisted navigation, search and rescue. The need for precise positioning is even m
Externí odkaz:
https://doaj.org/article/652de91405be4367a5ae1e2703a04ac4