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Robust Initial Alignment for SINS/DVL Based on Reconstructed Observation Vectors [article]

Xiang Xu, Jing Gui, Yifan Sun, Yiqing Yao, Tao Zhang
2020 arXiv   pre-print
In this paper, a robust initial alignment method for SINS/DVL is proposed to solve a practical applicable issue, which is that the outputs of DVL are often corrupted by the outliers.  ...  Secondly, based on the principle of this alignment method, the apparent velocity model is investigated, and the parameters expression of the apparent velocity model are derived detailed.  ...  Meanwhile, for application of autonomous underwater vehicle, a DVL-aided in-motion initial alignment method was proposed in [20] [21] [22] [23] [24] .  ... 
arXiv:2002.06841v1 fatcat:zuhseirndrca5a2uti5otgfcce

Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition

Francesco Potorti, Joaquín Torres-Sospedra, Darwin Quezada-Gaibor, Antonio Ramón Jiménez, Fernando Seco, Antoni Pérez-Navarro, Miguel Ortiz, Ni Zhu, Et Al.
2021 Zenodo  
The results in terms of participation and accuracy of the proposed systems have been encouraging.  ...  In 2020, the competition included 5 diverse off-site off-site Tracks, each resembling real use cases and challenges for indoor positioning.  ...  His research interests include indoor positioning, person-flow estimation, and autonomous driving. You-Cheng  ... 
doi:10.5281/zenodo.4948278 fatcat:wtzdgdf2gfhj3kkvgtzryh5fj4

Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition

Francesco Potorti, Joaquin Torres-Sospedra, Darwin Quezada-Gaibor, Antonio Ramon Jimenez, Fernando Seco, Antoni Perez-Navarro, Miguel Ortiz, Ni Zhu, Valerie Renaudin, Ryosuke Ichikari, Ryo Shimomura, Nozomu Ohta (+94 others)
2021 IEEE Sensors Journal  
The results in terms of participation and accuracy of the proposed systems have been encouraging.  ...  In 2020, the competition included 5 diverse off-site off-site Tracks, each resembling real use cases and challenges for indoor positioning.  ...  His research interests include indoor positioning, person-flow estimation, and autonomous driving. You-Cheng  ... 
doi:10.1109/jsen.2021.3083149 fatcat:ubm325fb45bn7omhsiw5ihef2y

Graph-based trajectory planning through programming by demonstration

Nik A. Melchior, Reid Simmons
2012 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems  
Autonomous robots are becoming increasingly commonplace in industry, space exploration, and even domestic applications.  ...  These diverse fields share the need for robots to perform increasingly complex motion behaviors for interacting with the world.  ...  Lee [24] used splines in phase space in order to fit both position and velocity.  ... 
doi:10.1109/iros.2012.6386101 dblp:conf/iros/MelchiorS12 fatcat:dz63sk7hr5b5hkbrzlfct2m434

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

2020 IEEE Transactions on Instrumentation and Measurement  
In-Motion Alignment for Doppler Velocity Log-Aided SINS Based on Initial Velocity Error Estimation.  ...  Zeng, Q., +, TIM Aug. 2020 5497-5510 In-Motion Alignment for Doppler Velocity Log-Aided SINS Based on Initial Velocity Error Estimation.  ... 
doi:10.1109/tim.2020.3042348 fatcat:a5f4fsqs45fbbetre6zwsg3dly

Analysis of Aperture Shape Changing Trend Base on the Shaped Charge Jet Penetration through the Steel Target [chapter]

Junqing Huang, Yalong Ma, Kelei Huang, Jianxun Zhao
2012 Communications in Computer and Information Science  
Based on the calculation results of RSM, the flow field, spatial pressure and velocity distributions inside the vortex cup were clarified.  ...  The e®ects of ankle-foot parameters on motion characteristics with different ankle stiffness are shown in detail. Abstract.  ...  for denoised motion field.  ... 
doi:10.1007/978-3-642-34384-1_2 fatcat:xvp3o6agk5hxpmbjptnthxiz5m

Internet of Things Technologies and Machine Learning Methods for Parkinson's Disease Diagnosis, Monitoring and Management: A Systematic Review

Konstantina-Maria Giannakopoulou, Ioanna Roussaki, Konstantinos Demestichas
2022 Sensors  
Finally, one hundred and twelve of them have been selected in a systematic way and have been considered in the state-of-the-art systematic review presented in this paper.  ...  The recent advances in the Internet of Things and Artificial Intelligence fields, including the subdomains of machine learning and deep learning, can support Parkinson's disease patients, their caregivers  ...  The distribution of the initially retrieved studies per academic citation database is depicted in the pie chart of Figure 2 .  ... 
doi:10.3390/s22051799 pmid:35270944 pmcid:PMC8915040 fatcat:rqwpjamitvazxhkmntrkqrsdha

Building Intelligent Autonomous Navigation Agents [article]

Devendra Singh Chaplot
2021 arXiv   pre-print
In the second part, we present a new class of navigation methods based on modular learning and structured explicit map representations, which leverage the strengths of both classical and end-to-end learning  ...  The goal of this thesis is to make progress towards designing algorithms capable of 'physical intelligence', i.e. building intelligent autonomous navigation agents capable of learning to perform complex  ...  Kalman filters assume Gaussian distributed initial uncertainty, while the visual odometry-based methods only predict the relative motion between consecutive frames or with respect to the initial frame  ... 
arXiv:2106.13415v1 fatcat:5x5g64rd2rfvnmttcz5y7qvium

Surveillance on Manycasting Over Optical Burst Switching (OBS) Networks under Secure Sparse Regeneration

C.Veera lakshmi
2013 IOSR Journal of Electronics and Communication Engineering  
In manycasting, destinations can join or exit the group, depending on the service requirements imposed on them. This dynamic movement of the destinations in the group decreases blocking effect.  ...  In wavelength-routed WDM optical networks requires regeneration for few light paths, when the strength of optical signal reduced and also security and privacy are essential before Optical Burst Switching  ...  The main advantage from other swarm intelligent protocols like ant colony optimization is communications are based on visual activity & path search, unlike backtracking in many others.  ... 
doi:10.9790/2834-0460108 fatcat:5qasfbq4n5cbpln42h3pa3cucq

A collaborative approach to image segmentation and behavior recognition from image sequences

Laura Ioana Gui
2008
The green vectors represent the velocity in the normal direction obtained through motion by mean curvature. Figure 2 . 2 - 22 Simulation of water droplet reunion in an emulsion.  ...  The equation states that the curve is deforming with α velocity in the tangential direction and with β velocity in the normal direction.  ...  The segmenting contour of the first image of each sequence was determined by a rough manual initialization of the contour, followed by segmentation using only the image-and contour-based terms given by  ... 
doi:10.5075/epfl-thesis-4239 fatcat:j4oj3y7ol5czbjch5wftcrkgra

Penilaian Kualiti Laporan EIA Dalam Aspek Kajian Hakisan Tanah [article]

Abdul Mahmud
2020 Figshare  
: Soil erosion and sedimentation has become one of the major issues in the implementation of the EIA project in Malaysia.  ...  Contribution: This research was contribute in the new methodology in conducting evaluation of the EIA quality.  ...  Furthermore, the group final decision value is a common value achieved based on an initial status.  ... 
doi:10.6084/m9.figshare.12095736 fatcat:fzsit3wyqjc3fni4no4zzopz5e

Table of contents

2019 2019 Chinese Control Conference (CCC)   unpublished
HAN Yongqiang, WEI Chenchen, LU Tongchun, WANG Ruirong 4037 Improved Maximum Likelihood Filter Based on UD Decomposition Algorithm and Its Application in Transfer Alignment . . . . . . . . .  ...  YANG Zan, LI Dan 3755 Short-term Weather Forecast Based on Wavelet Denoising and Catboost. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.23919/chicc.2019.8866607 fatcat:bkwxxogrqvcmfpmqiek3xgnuoe

Evolutionary Models for Signal Enhancement and Approximation [article]

Leif Bergerhoff, Universität Des Saarlandes
2021
This can also be interpreted in terms of adaptive sampling with tonal optimisation. We suggest an energy-based approach with minimal requirements that aims at minimising the mean squared error.  ...  In Experimenten zeigen wir die Anwendbarkeit des Modells zur globalen und lokalen Kontrastverstärkung in digitalen Bildern.  ...  We show the most basic form of backtracking line search in Algorithm 4. The parameter α > 0 represents the initial step length and is [NW99] -often set to one.  ... 
doi:10.22028/d291-34294 fatcat:vp5t2qs4vjacjjzhbs3j2orvve

An Introduction to Sensor Data Analytics [chapter]

Charu C. Aggarwal
2012 Managing and Mining Sensor Data  
In principle, regression-based models Figure 2.6. Detected anomalies based on 2-degree Chebyshev regression. Probabilistic Models.  ...  Model-Based Query Processing In this section we elaborate another important task in sensor data management -query processing.  ...  Acknowledgments This work was supported in part by the National Science Foundation under Grants IIS-1029711 and IIS-0905581, an NSF Graduate Research Fellowship, an NSF Nordic Research Opportunity, and  ... 
doi:10.1007/978-1-4614-6309-2_1 fatcat:pfbx566yfzgqpnjcuzonmxr23q

Ultra-High-Energy Cosmic Rays: The Intersection of the Cosmic and Energy Frontiers [article]

A. Coleman
2022 arXiv   pre-print
It summarizes the science questions driving the Ultra-High-Energy Cosmic-Ray (UHECR) community and provides recommendations on the strategy to answer them in the next two decades.  ...  In particular, we would like to thank Hernan Asorey, Peter L.  ...  Acknowledgements The authors would like to first thank all of those who participated in the UHECRs white-paper planning and review meetings as well as all of the authors who contributed LoIs to the original  ... 
arXiv:2205.05845v1 fatcat:xmfdj7h4gnglbnab5lycmnqndq
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