Design of an EKF-CI based sensor fusion for robust heading estimation of marine vehicle

International Journal of Precision Engineering and Manufacturing ◽

10.1007/s12541-015-0054-9 ◽

2015 ◽

Vol 16 (2) ◽

pp. 403-407 ◽

Author(s):

Felipe Patiño Vista ◽

Deok-Jin Lee ◽

Kil To Chong

Keyword(s):

Sensor Fusion ◽

Heading Estimation ◽

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Skewed-redundant Hall-effect Magnetic Sensor Fusion for Perturbation-free Indoor Heading Estimation

2020 Fourth IEEE International Conference on Robotic Computing (IRC) ◽

10.1109/irc.2020.00064 ◽

2020 ◽

Author(s):

Mojtaba Karimi ◽

Edwin Babaians ◽

Martin Oelsch ◽

Tamay Aykut ◽

Eckehard Steinbach

Keyword(s):

Hall Effect ◽

Sensor Fusion ◽

Magnetic Sensor ◽

Heading Estimation

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Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation

Artificial Neural Networks and Machine Learning – ICANN 2013 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-40728-4_30 ◽

2013 ◽

pp. 240-247 ◽

Author(s):

Cristian Axenie ◽

Jörg Conradt

Keyword(s):

Mobile Robot ◽

Sensor Fusion ◽

Heading Estimation

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Performance Analysis of Sensor Fusion Techniques for Heading Estimation Using Smartphone Sensors

IEEE Sensors Journal ◽

10.1109/jsen.2019.2940071 ◽

2019 ◽

Vol 19 (24) ◽

pp. 12369-12380 ◽

Author(s):

Alwin Poulose ◽

Benaoumeur Senouci ◽

Dong Seog Han

Keyword(s):

Performance Analysis ◽

Sensor Fusion ◽

Smartphone Sensors ◽

Heading Estimation

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An interval Kalman filter–based fuzzy multi-sensor fusion approach for fault-tolerant heading estimation of an autonomous surface vehicle

Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment ◽

10.1177/1475090215596180 ◽

2015 ◽

Vol 230 (3) ◽

pp. 491-507 ◽

Author(s):

Amit Motwani ◽

Wenwen Liu ◽

Sanjay Sharma ◽

Robert Sutton ◽

Richard Bucknall

Keyword(s):

Kalman Filter ◽

Sensor Fusion ◽

Fault Tolerant ◽

Autonomous Surface Vehicle ◽

Heading Estimation ◽

Fusion Approach

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The psychophysics of sensor fusion: A multidimensional signal detection analysis

PsycEXTRA Dataset ◽

10.1037/e577712012-081 ◽

2006 ◽

Author(s):

Jason S. McCarley ◽

William K. Krebs

Keyword(s):

Signal Detection ◽

Sensor Fusion ◽

Detection Analysis ◽

Multidimensional Signal ◽

Signal Detection Analysis

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A Globally Referenced and High-precision Visual Positioning Device Based on Multi-sensor Fusion Technology

Proceedings of the 33rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020) ◽

10.33012/2020.17605 ◽

2020 ◽

Author(s):

Stefan Schaufler ◽

Michele Fischell ◽

Geo Boffi ◽

Xiaoguang Luo ◽

Jose Aponte

Keyword(s):

Sensor Fusion ◽

High Precision ◽

Fusion Technology ◽

Visual Positioning ◽

Positioning Device

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Bridging Maritime GNSS Jamming Attacks by GNSS-IMU-DVL Multi-Sensor-Fusion

Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019) ◽

10.33012/2019.16947 ◽

2019 ◽

Author(s):

R. Ziebold ◽

M. Romanovas ◽

D. Arias Medina ◽

Ch. Lass ◽

S. Gewies

Keyword(s):

Sensor Fusion ◽

Jamming Attacks

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Covariance Estimation for GPS-LiDar Sensor Fusion for UAVs

Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017) ◽

10.33012/2017.15165 ◽

2017 ◽

Author(s):

Akshay Shetty ◽

Grace Xingxin Gao

Keyword(s):

Sensor Fusion ◽

Covariance Estimation

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Sensor Fusion Algorithm for Airborne Autonomous Vehicle Collision Avoidance Applications

10.15368/theses.2019.58 ◽

2018 ◽

Author(s):

Julien Albert Doe

Keyword(s):

Collision Avoidance ◽

Sensor Fusion ◽

Autonomous Vehicle ◽

Fusion Algorithm ◽

Vehicle Collision

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An Open Multi-Sensor Fusion Toolbox for Autonomous Vehicles

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.2019tsp0005 ◽

2020 ◽

Vol E103.A (1) ◽

pp. 252-264

Author(s):

Abraham MONRROY CANO ◽

Eijiro TAKEUCHI ◽

Shinpei KATO ◽

Masato EDAHIRO

Keyword(s):

Sensor Fusion ◽

Autonomous Vehicles

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