Article
Engineering, Electrical & Electronic
Hongji Cao, Yunjia Wang, Jingxue Bi, Hongxia Qi, Meng Sun
Summary: This article proposes a robust heading estimation algorithm for smartphones, which integrates the gradient descent (GD) approach and genetic algorithm (GA) to compute the heading angle of smartphones and reduce the heading error accumulation induced by the errors of sensors. The algorithm utilizes the accelerometer, magnetometer, and gyroscope to estimate the heading angle, and employs a fitness function based on the squared triaxial errors of geomagnetic strength and acceleration to enhance accuracy and suppress error accumulation. The gyroscope's angular velocity is used to initialize the genetic algorithm, and a search area adjustment strategy based on gradient descent is devised to improve convergence rate and local search capability. Experimental results demonstrate that the algorithm achieves better heading estimation accuracy across three smartphones and four orientations, with an average heading error of 1.577 degrees on the Mate 20 smartphone.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Food Science & Technology
Claude Bragard, Paula Baptista, Elisavet Chatzivassiliou, Francesco Di Serio, Paolo Gonthier, Josep Anton Jaques Miret, Annemarie Fejer Justesen, Alan MacLeod, Christer Sven Magnusson, Panagiotis Milonas, Juan A. Navas-Cortes, Stephen Parnell, Roel Potting, Emilio Stefani, Hans-Hermann Thulke, Wopke Van Der Werf, Antonio Vicent Civera, Jonathan Yuen, Lucia Zappala, Jianchi Chen, Quirico Migheli, Irene Vloutoglou, Franz Streissl, Philippe Lucien Reignault
Summary: The EFSA Plant Health Panel conducted a categorisation of Xylella taiwanensis, a bacterium that causes pear leaf scorch. While it is not yet present in the EU, it could enter through host plants or potential insect vectors. The impact and spread of the pathogen remain uncertain due to limited knowledge on its ability to infect other pear species and the presence of suitable vectors.
Article
Computer Science, Information Systems
Ying Guo, Hanshuo Liu, Jin Ye, Shengli Wang, Chenxi Duan
Summary: This study investigates indoor navigation methods in different mobile phone carrying modes, and uses gyroscope data and rotation methods to improve the accuracy of pedestrian navigation. Experimental results show that the new methods have smaller heading errors and improved navigation reliability.
MOBILE INFORMATION SYSTEMS
(2021)
Article
Engineering, Civil
Zhuanhua Zhang, Keyi Li, Gongjian Zhou
Summary: This study explores the state estimation problem with heading constraints in transportation networks, proposing heading constraint Kalman filters based on straight or circular trajectory. By augmenting the base state elements and utilizing known road direction information to formulate constraints, the estimation performance is enhanced.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Information Systems
Sheng Yang, Jingbin Liu, Xiaodong Gong, Gege Huang, Yu Bai
Summary: This article presents a heading estimation solution that improves the accuracy and reliability of smartphone indoor positioning by fusing sensor data and scene knowledge. The solution successfully enhances the accuracy of heading estimation from 13.1 degrees to 2.0 degrees, thereby improving the overall accuracy of smartphone indoor positioning from 3.57 meters to 0.90 meters.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Vincent Thio, Kjetil Bergh Anonsen, Jan Kenneth Bekkeng
Summary: Inertial navigation of pedestrians carrying a smart device is crucial for indoor positioning systems, with user heading estimation being a main challenge. A statistical model using IMU and magnetometer data is proposed, showing similar accuracy to an attitude-based method in testing.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Civil
Xueqian Xu, Bing Wu, Lei Xie, Angelo P. Teixeira, Xinping Yan
Summary: This paper proposes an approach to estimate ship dynamic features using radar sequential images for ship collision risk assessment in VTS center. The approach involves ship detection, tracking, and data fusion, incorporating background subtraction detector, Kalman filter, Hungarian algorithm, and fuzzy logic. Experimental results indicate accurate estimation of ship speed and heading in the radar sequential images of the Yangtze River.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Ye Tian, Ao Peng, Xueting Xu, Weicheng Zhang
Summary: This paper introduces a pedestrian positioning method with wearable devices, which tracks the attitude and provides real-time positioning services based on the information of step length. By using a Kalman filter and low-cost sensors, this method effectively solves the noise interference and insufficient magnetic field observation in gravity accelerometer measurements.
IEEE SENSORS JOURNAL
(2022)
Article
Robotics
Daniil Lisus, Charles Champagne Cossette, Mohammed Shalaby, James Richard Forbes
Summary: This letter demonstrates how to estimate robot heading using UWB range and RSS measurements, by learning a data-driven relationship and combining with a gyroscope and an invariant extended Kalman filter.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Agriculture, Multidisciplinary
Antonio Leanza, Rocco Galati, Angelo Ugenti, Eugenio Cavallo, Giulio Reina
Summary: This paper presents a novel algorithmic solution for reliable evaluation of the vehicle heading in autonomous navigation of agricultural UGVs in unstructured outdoor environments. The proposed approach uses adaptive Kalman filtering and linear regression analysis for accurate estimation of the absolute vehicle heading, providing a functional and affordable solution for real-world applications.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Chemistry, Analytical
Fan Bo, Jia Li, Weibing Wang, Kaiyue Zhou
Summary: Robust and accurate attitude and heading estimation is crucial for various applications, such as pedestrian dead reckoning, human motion tracking, and Micro Aerial Vehicles (MAVs). However, the accuracy of the Attitude and Heading Reference System (AHRS) is often compromised by noisy low-cost MEMS-IMUs and external disturbances. To address this, we propose a novel data-driven IMU calibration model using Temporal Convolutional Networks (TCNs) to denoise sensor data. Our method outperforms baseline methods and complementary filters on absolute attitude and yaw error metrics by more than 23.4% and 23.9%, demonstrating its robustness across different devices and motion patterns.
Article
Environmental Sciences
Wei Ding, Wei Sun, Yang Gao, Jiaji Wu
Summary: This study focuses on precise and reliable heading and pitch estimation using a low-cost GNSS receiver. By utilizing the time-differenced carrier phases and Doppler-aided cycle slip detection method, accurate estimations of vehicular heading and pitch angles were achieved.
Article
Engineering, Electrical & Electronic
Yingbiao Yao, Yueping Liu, Zhengjing Zhou, Xin Xu
Summary: Indoor positioning can be achieved using smartphone-based pedestrian dead reckoning (PDR), which provides real-time, continuous position estimation without the need for predeployed infrastructure. However, magnetic interference affects the accuracy of heading estimation in PDR. To address this issue, a fusion estimation method based on magnetic interference detection classification is proposed. Experimental results show that the proposed method achieves 98% accuracy in magnetic interference detection, with an average heading estimation error of less than 4°. The average positioning error of PDR integrating the proposed heading estimation method is 0.67 and 2.75 m for walking distances of 84 and 252 m, respectively, demonstrating the effectiveness of the proposed method.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Wei Li, Ruizhi Chen, Yue Yu, Yuan Wu, Haitao Zhou
Summary: The study proposes an improved smartphone-based pedestrian dead-reckoning positioning solution with a novel heading estimation algorithm, which reduces cumulative error and eliminates the effects of different smartphone postures and magnetic interference. Experimental results show excellent localization performance under complex environments, with average heading error and positioning error both within low ranges.
Article
Geriatrics & Gerontology
Grace A. A. Gabriel, Laurence R. R. Harris, Denise Y. P. Henriques, Maryam Pandi, Jennifer L. L. Campos
Summary: The study aimed to improve self-motion heading perception in older adults and younger adults through providing feedback, demonstrating that visual heading perception can be enhanced through multisensory training. Older adults showed better integration throughout the study, while younger adults only exhibited optimal integration post-training.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Engineering, Marine
Kenneth Gade
JOURNAL OF NAVIGATION
(2010)
Proceedings Paper
Engineering, Electrical & Electronic
Nina Odegaard, Kenneth Gade
2018 19TH INTERNATIONAL RADAR SYMPOSIUM (IRS)
(2018)
Article
Automation & Control Systems
B Jalving, K Gade, K Svartveit, A Willumsen, R Sorhagen
MODELING IDENTIFICATION AND CONTROL
(2004)
Article
Automation & Control Systems
B Jalving, K Gade, OK Hagen, K Vestgård
MODELING IDENTIFICATION AND CONTROL
(2004)
Article
Engineering, Marine
BH Hafskjold, B Jalving, PE Hagen, K Gade
JOURNAL OF NAVIGATION
(2000)
