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A Benchmarking Measurement Campaign to Support Ubiquitous Localization in GNSS Denied and Indoor Environments [chapter]

Guenther Retscher, Allison Kealy, Vassilis Gikas, Jelena Gabela, Salil Goel, Yan Li, Andrea Masiero, Charles K. Toth, Harris Perakis, Wioleta Błaszczak-Bąk, Zoltan Koppanyi, Dorota Grejner-Brzezinska
2020 International Association of Geodesy Symposia  
Localization in GNSS-denied/challenged indoor/outdoor and transitional environments represents a challenging research problem. As part of the joint IAG/FIG Working Groups 4.  ...  Thereby the development of new measurement integration algorithms based around innovative modeling techniques in other research domains, such as machine learning and genetic algorithms, spatial cognition  ...  Introduction and Objectives In GNSS challenged environments, an augmentation with other emerging positioning technologies is an unremitting requirement.  ... 
doi:10.1007/1345_2020_102 fatcat:5betyayvbrapnhg5vos362q2b4

A Survey on Deep Learning Methods for Robot Vision [article]

Javier Ruiz-del-Solar, Patricio Loncomilla, Naiomi Soto
2018 arXiv   pre-print
To achieve this, a comprehensive overview of deep learning and its usage in computer vision is given, that includes a description of the most frequently used neural models and their main application areas  ...  Then, the standard methodology and tools used for designing deep-learning based vision systems are presented.  ...  Object Detection and Categorization (Pedestrian detection) Tome et al., 2016 [42] CNN (Alexnet v/s GoogleNet) for pedestrian detection with LCDF as person proposal.  ... 
arXiv:1803.10862v1 fatcat:bkxbwfkuxbfkrck4aafdgt3moy

Reports of the AAAI 2019 Spring Symposium Series

Ioana Baldini, Clark Barrett, Antonio Chella, Carlos Cinelli, David Gamez, Leilani Gilpin, Knut Hinkelmann, Dylan Holmes, Takashi Kido, Murat Kocaoglu, William Lawless, Alessio Lomuscio (+8 others)
2019 The AI Magazine  
The titles of the nine symposia were Artificial Intelligence, Autonomous Machines, and Human Awareness: User Interventions, Intuition and Mutually Constructed Context; Beyond Curve Fitting — Causation,  ...  Counterfactuals and Imagination-Based AI; Combining Machine Learning with Knowledge Engineering; Interpretable AI for Well-Being: Understanding Cognitive Bias and Social Embeddedness; Privacy- Enhancing  ...  For example, in the Uber accident that killed a pedestrian in 2018, the car, which detected the pedestrian 5 seconds before the human driver did, was a poor team player that did not alert its humanoperator  ... 
doi:10.1609/aimag.v40i3.5181 fatcat:o6i6qvts25ccpm7nrw43tnwfeu

Information from imagery: ISPRS scientific vision and research agenda

Jun Chen, Ian Dowman, Songnian Li, Zhilin Li, Marguerite Madden, Jon Mills, Nicolas Paparoditis, Franz Rottensteiner, Monika Sester, Charles Toth, John Trinder, Christian Heipke
2016 ISPRS journal of photogrammetry and remote sensing (Print)  
As a leading organisation in this field, the International Society for Photogrammetry and Remote Sensing (ISPRS) has been devoted to effectively and efficiently obtaining and utilizing information from  ...  , the application of imagery is now ubiquitous, playing an important role in many aspects of life and work today.  ...  We also acknowledge ISPRS Honorary Members, Fellows, Technical Commission Presidents and other ISPRS officers for their valuable comments and suggestions.  ... 
doi:10.1016/j.isprsjprs.2015.09.008 fatcat:jqee72qpufgsjbs5xouxfquhh4

From GPS and virtual globes to spatial computing - 2020

Shashi Shekhar, Steven Feiner, Walid G. Aref
2015 Geoinformatica  
This proposal outlines an effort to develop and promote a unified agenda for Spatial Computing research and development across US agencies, industries, and universities.  ...  This exposome, a characterization of a person's lifetime exposures, is becoming an increasingly popular subject  ...  Change-detection algorithms monitor land cover and highlight temporal changes in foliage cover.  ... 
doi:10.1007/s10707-015-0235-9 fatcat:42jd7y5xvbh4vbq6aq3st7d2xi

Reduced-feedback linear precoding with stable performance for the time-varying MIMO broadcast channel

Adam Anderson, James Zeidler, Michael Jensen
2008 IEEE Journal on Selected Areas in Communications  
maintaining the data needed, and completing and reviewing the collection of information.  ...  Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188,) Washington, DC 20503.  ...  Analysis of the throughput for this RCDI beamforming algorithm using measured channel data has demonstrated that it is robust to temporal variations and delay in the feedback channel and outperforms the  ... 
doi:10.1109/jsac.2008.081014 fatcat:3gpi4jfcqbamnbkumnjybgy5cu

Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions

Uzoma Rita Alo, Friday Onwe Nkwo, Henry Friday Nweke, Ifeanyi Isaiah Achi, Henry Anayo Okemiri
2021 Sensors  
These technologies have been deployed by different countries around the world to achieve effective and efficient means of maintaining appropriate distance and tracking the transmission pattern of the diseases  ...  The paper critically and comprehensively reviews contact tracing technologies, protocols, and mobile applications (apps) that were recently developed and deployed against the coronavirus disease.  ...  Although there were some missing detections due to high pedestrian density and occlusion, the framework is still effective as most of the pedestrians were detected.  ... 
doi:10.3390/s22010280 pmid:35009822 pmcid:PMC8749862 fatcat:y2g2oi4z2zavdc6hzju4hczb64

Interregional Archaeology in the Age of Big Data: Building Online Collaborative Platforms for Virtual Survey in the Andes

Steven Wernke, Parker VanValkenburgh, Akira Saito
2020 Journal of Field Archaeology  
The former is an online platform facilitating virtual archaeological survey of satellite and historical aerial imagery; the latter collates primary source information on Andean places.  ...  We discuss the development of two collaborative research projects that seek to address these problems-GeoPACHA (Geospatial Platform for Andean Culture, History and Archaeology) and LOGAR (Linked Open Gazetteer  ...  Imagery purchases were made possible by a grant from the Vanderbilt University Data Science Institute, and an in-kind grant from the DigitalGlobe Foundation (Wernke, P.I.).  ... 
doi:10.1080/00934690.2020.1713286 fatcat:27uiqcgtw5hhxgbywylh3dcbi4

Millimeter-Wave Doppler Spectrum and Polarimetric Response of Walking Bodies

Mehrnoosh Vahidpour, Kamal Sarabandi
2012 IEEE Transactions on Geoscience and Remote Sensing  
This study is motivated by the desire to utilize millimeter-wave radars to detect pedestrians against other targets in the radar scene.  ...  The forward model is based on an iterative physical optics approach.  ...  This adds to the robustness of the algorithm and can drastically reduce the false alarm rate. VI.  ... 
doi:10.1109/tgrs.2011.2176342 fatcat:2aq5xkhlongevhxbzidtrmwpza

Detailed Dissemination and Communication Plan_report

T. Kouri, A. Zacharaki
2020 Zenodo  
This deliverable presents an initial dissemination and communication plan for the nIoVe project.  ...  It provides the overall project dissemination and communication strategy as well as the key stakeholders, communication channels and dissemination materials to be used.  ...  contribute in an effective way.  ... 
doi:10.5281/zenodo.4728064 fatcat:yquvjxqd55cfta5ooyl7pno6ei

A Survey of Deep Active Learning [article]

Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Brij B. Gupta, Xiaojiang Chen, Xin Wang
2021 arXiv   pre-print
In recent years, due to the rapid development of internet technology, we are in an era of information torrents and we have massive amounts of data.  ...  Finally, we discussed the confusion and problems in DAL, and gave some possible development directions for DAL.  ...  [52] Piotr Dollár, Christian Wojek, Bernt Schiele, and Pietro Perona. 2012. Pedestrian Detection: An Evaluation of the State of the Art. IEEE Trans. Pattern Anal. Mach.  ... 
arXiv:2009.00236v2 fatcat:zuk2doushzhlfaufcyhoktxj7e

Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review [article]

Mikael Sabuhi, Ming Zhou, Cor-Paul Bezemer, Petr Musilek
2021 arXiv   pre-print
Anomaly detection has become an indispensable tool for modern society, applied in a wide range of applications, from detecting fraudulent transactions to malignant brain tumours.  ...  detection techniques have been applied, and (3) which datasets and performance metrics have been used to evaluate these techniques.  ...  Acknowledgments The research reported in this article has been supported by the Government of Alberta under the Major Innovation Fund project RCP-19-001-MIF, and by the Natural Sciences and Engineering  ... 
arXiv:2110.12076v1 fatcat:iblxycthufhzfk2aek2ng5pfoy

Journal of Geodesy

Hermann Drewes
2012 Journal of Geodesy  
The sub-committee will be co-chaired by government representatives of China and Japan, and the IGS. This is recognition that IGS, due to multi-GNSS ob-  ...  The research will focus on the assessment and improvement of the robustness and processing efficiency of Network-based GNSS RTK algorithms and software tools; the development of methods for integrity and  ...  As an international organization, GGOS can be very effective as an advocate for the role of geodesy in understanding and mitigating natural hazards.  ... 
doi:10.1007/s00190-012-0584-1 fatcat:rhvipyvqgbch3atsknpfgfzfqa

A 20-Year Community Roadmap for Artificial Intelligence Research in the US [article]

Yolanda Gil, Bart Selman
2019 arXiv   pre-print
Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in  ...  AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars.  ...  Every AI system should exhibit some robustness to those uncertainties, and be able to detect when that robustness will break down.  ... 
arXiv:1908.02624v1 fatcat:jza6i2tzufgeracsou77qukbu4

Transferred Knowledge Aided Positioning via Global and Local Structural Consistency Constraints

Xiansheng Guo, Lei Wang, Lin Li, Nirwan Ansari
2019 IEEE Access  
TEAPOT imposes the global structural consistency by minimizing the differences between the marginal and conditional distributions of the source and target domains and maximizing the samples variance in  ...  Simultaneously, it also imposes the local structural consistency by minimizing within class variance and maximizing between class variance to retain the source discriminative information and preserving  ...  conferences/symposia/workshops.  ... 
doi:10.1109/access.2019.2903273 fatcat:dzwrha7uzvb4xpqjpx4iwcgieu
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