Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Mohamed M. Atia"'
Publikováno v:
Sensors, Vol 15, Iss 9, Pp 23286-23302 (2015)
This paper takes advantage of the complementary characteristics of Global Positioning System (GPS) and Light Detection and Ranging (LiDAR) to provide periodic corrections to Inertial Navigation System (INS) alternatively in different environmental co
Externí odkaz:
https://doaj.org/article/eadc6d5c02b343099eb41718e09dda6e
Publikováno v:
Sensors, Vol 15, Iss 9, Pp 24269-24296 (2015)
Reduced inertial sensor systems (RISS) have been introduced by many researchers as a low-cost, low-complexity sensor assembly that can be integrated with GPS to provide a robust integrated navigation system for land vehicles. In earlier works, the de
Externí odkaz:
https://doaj.org/article/b13bb67339d24a1ba483c028d0d61d9d
Autor:
Junwen Fu, Xiaofei Zhang, Wenhao Yu, Jun Li, Mohamed M. Atia, Hong Wang, Chuzhao Li, Zhenmao Hao
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Publikováno v:
IEEE Sensors Journal. 19:11424-11436
Tightly-coupled (TC) fusion of Inertial Measurement Units (IMUs) with Global Navigation Satellite Systems (GNSSs) is a common technique that provides high-rate positioning even under GNSS interruptions. In order to provide accurate positioning, error
Autor:
Mohamed M. Atia
Publikováno v:
Mathematical and Computer Modelling of Dynamical Systems. 25:40-62
Sensor fusion is the art of estimating accurate information from noisy multi-sensor data. Due to the complexity of stochastic sensor errors, design and testing of sensor fusion algorithms have been...
Autor:
Steven L. Waslander, Mohamed M. Atia
Publikováno v:
Measurement. 131:615-627
Global Navigation Satellite Systems (GNSS) suffer from outliers and multipath errors in urban environments. Some errors can be mitigated by adaptive sensor fusion methods. However, existing adaptive fusion methods require multiple redundant measureme
Autor:
Nahal Iliaee, Shuzheng Qu, Safieh Bamati Toosi, Mohamed M. Atia, Felix Nadon, Yashar Farajpour
Publikováno v:
ANZCC
This study presents a concise background of indoor positioning technologies and is mainly focused on the functionality of UWB (Ultra-Wide Band) navigation devices and Non-Linear Least-Squares (NLLS) algorithm in position estimation applications for m
Autor:
Mohamed M. Atia, Alan Zhang
Publikováno v:
2020 IEEE SENSORS.
Light Detection and Ranging (LiDAR) based Simultaneous Localization and Mapping (SLAM) systems are often used to map indoor areas and localize mobile systems. LiDAR scan matching performs poorly in environments without rich geometry, such as long hal
Publikováno v:
SMC
In this paper, a deceptive version of guarding a territory in a grid world is proposed. Like the original version, a defender tries to intercept an invader before it invades the targets. However, the discerning invader can deceive the defender about
Publikováno v:
MWSCAS
Simultaneous localization and mapping for human body-mounted platforms have been recently the focus of navigation research to support a wide range of applications such as rescue, first-responders, mining, and defense. For vehicular platforms, wheel o