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Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment
[article]
2020
arXiv
pre-print
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The exponential increase in computing resources and the availability of large amount of data in this digital era has led to the resurgence of machine learning from its last winter. ...
A key area of focus that will be essential to enable autonomy to UAS is computer vision. ...
Recently, AirSim was used as a platform to host a simulation-based drone racing competition called Game of Drones [98] . ...
arXiv:2009.03349v2
fatcat:5ylreoukrfcrtorzzp44mntjum
2021 Index IEEE Internet of Things Journal Vol. 8
2021
IEEE Internet of Things Journal
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., +, JIoT July 1, 2021 10452-10473 Enabling Drones in the Internet of Things With Decentralized Blockchain-Based Security. ...
Chen, Q., +, JIoT Sept. 15, 2021 14355-14371 Drones Collection of Data With Drones in Precision Agriculture: Analytical Model and LoRa Case Study. ...
doi:10.1109/jiot.2022.3141840
fatcat:42a2qzt4jnbwxihxp6rzosha3y
Distributed Implementation for Person Re-Identification
2015
2015 Sensor Signal Processing for Defence (SSPD)
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The processed data was then stored in the database via the device network. ...
The drones may have different computing and energy resources and depending on the state of the device, it may not be able to complete these processing in an allocated time. ...
His research expertise include model-based Bayesian signal processing, speech and audio signal processing in adverse acoustic environments, including blind dereverberation and multi-target acoustic source ...
doi:10.1109/sspd.2015.7288501
fatcat:eyva47owwnh3dnvv2zdczvgszi
Volume 1 of the Proceedings of the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods to be held in Krakow, Poland, October 15-18, 2021
[article]
2020
figshare.com
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Acknowledgements This material is based upon work supported by the Air Force Office of Scientific Research under award number FA9550-19-1-7015. ...
Acknowledgments The authors would like to thank: Neil Thomas for providing test data, Eric Lo for providing additional guidance on the algorithm, Allison Busa for initial experiments on machine learning ...
are taken to protect users' privacy and data security. ...
doi:10.6084/m9.figshare.13013717.v4
fatcat:k735cpkurba77fbgbbf7gqldqu
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets
[article]
2021
arXiv
pre-print
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This survey paper specially analyzed computer vision-based object detection challenges and solutions by different techniques. ...
In part 2) we mainly focused on tiny object detection techniques (multi-scale feature learning, Data augmentation, Training strategy (TS), Context-based detection, GAN-based detection). ...
ACKNOWLEDGMENTS I am thankful to Prof Xi Li wholeheartedly, who supported me throughout this research journey and helped me with complete devotion and motivation. ...
arXiv:2107.07927v1
fatcat:pgwxu5tnvzhj7ln3ccndmpilsi
Artificial Intellgence – Application in Life Sciences and Beyond. The Upper Rhine Artificial Intelligence Symposium UR-AI 2021
[article]
2021
arXiv
pre-print
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what else you can do for me'). ( 6 ) Adaptability: Agents should be personalized and adapt to the user's needs over time ('become my companion'). ...
All data driven strategies require a data prepossessing step in order to make operating data compatible with data driven models. ...
Again, the Kalman filter applied to the whole image smooths the data the best. Yet, the particle and grid-based Kalman filter return good results as well. ...
arXiv:2112.05657v1
fatcat:wdjgymicyrfybg5zth2dc2i3ni
Challenges to the deployment of autonomous weapons
2019
Zenodo
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There are several drivers to a move from merely automatic weapons to fully autonomous weapons which are able to engage a target based solely upon algorithm-based decision-making. ...
drones: Inside the Pentagon's plan to overwhelm Russian and Chinese air defences', The Buzz, National Interest, 10 May 2016 <http://nationalinterest.org/blog/the-buzz/swarming-mini-drones-inside-thepentagons-plan-overwhelm ...
The weapon must then have a capacity to deduce and decide courses of action driven by this data. ...
doi:10.5281/zenodo.3689445
fatcat:suxmfofsozfeheeyjm4bo237j4
Improving Deep Learning Training and Inference with Dynamic Hyperparameter Optimization
2021
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Over the past decade, deep learning has demonstrated state-of-the-art accuracy on challenges posed by computer vision and natural language processing, revolutionizing these fields in the process. ...
Thank you Dave, for always going the extra mile for me, whether that was in securing me an NVIDIA TitanX, or a TensorFlow t-shirt. ...
We describe how Mainstream does so via adaptive sharing of computation among DNN-based analytics applications. ...
doi:10.1184/r1/14423846
fatcat:p5xwfwyplrenvov24y5ao6t5zq
Volume 2 of the Proceedings of the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods held online May 18-22 2022
[article]
2022
figshare.com
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Acknowledgement We acknowledge Daniel Blatt, Riccarda Moro, Leonie Berger, and Antonia Gelardi for their assistance in data collection. ...
This work was supported by the Bavarian Ministry of Economic Affairs, Regional Development and Energy through the Center for Analytics -Data -Applications (ADA-Center) within the framework of "BAYERN DIGITAL ...
We believe that landscape data in the future will be captured by off-the-shelf drone technology specially modified to stream collected data, and respond to control information sent via a smart biome data ...
doi:10.6084/m9.figshare.20066849.v2
fatcat:f7ndcnjqlfbr3ptetfjij4hehm
Volume 2 of the Proceedings of the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods held online May 18-22 2022
[article]
2022
figshare.com
Preserved Fulltext
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Acknowledgement We acknowledge Daniel Blatt, Riccarda Moro, Leonie Berger, and Antonia Gelardi for their assistance in data collection. ...
This work was supported by the Bavarian Ministry of Economic Affairs, Regional Development and Energy through the Center for Analytics -Data -Applications (ADA-Center) within the framework of "BAYERN DIGITAL ...
We believe that landscape data in the future will be captured by off-the-shelf drone technology specially modified to stream collected data, and respond to control information sent via a smart biome data ...
doi:10.6084/m9.figshare.20066849.v1
fatcat:zfef2d4x4fgsxibcplwkpae4yq
Autonomous Driving in Adverse Weather Conditions: A Survey
[article]
2021
arXiv
pre-print
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By pointing out all kinds of major weather problems the autonomous driving field is currently facing, and reviewing both hardware and computer science solutions in recent years, this survey contributes ...
Bartos et al. [154] via an attention-based fusion module. ...
tensions and splinters [114], which can be seen as a part
Beyond all the advanced technologies, sometimes me- of the road that Apple is paving to the AV security.
chanical solutions can be as simple ...
arXiv:2112.08936v1
fatcat:hmgjhywy7rgx3fgrk6yxnu56ie
Anais do XV Workshop-Escola de Sistemas de Agentes, seus Ambientes e apliCações
[article]
2021
Zenodo
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The event consists of Workshops and Lectures given by experienced researchers and presentations of Complete Papers and Extended Abstracts. ...
Agents in the simulation learned through self-play via a Q-learning algorithm with function approximation. ...
MDD4ABMS is a model-driven approach for developing agent-based simulations. ...
doi:10.5281/zenodo.5774181
fatcat:3tnaieviqre77k6vy2modsbun4
ANALELE UNIVERSITĂȚII DIN ORADEA, FASCICULA PROTECȚIA MEDIULUI
2020
Zenodo
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On top of that, its Farmsight system is designed to enable data-driven insights to inform agricultural decision making, based on shared user data from subscribers all around the world. ...
vision and deep-learning algorithms to process data captured by drones and / or software-based technology to monitor crop and soil health. • Predictive Analytics -Machine Learning models are being developed ...
Information concerning life forms, floristic elements and ecological indices is given based on Sanda et al., (1983) , . ...
doi:10.5281/zenodo.4362296
fatcat:nwirxo2zujgz5lmpnxbpjl73am
Deep Visual Instruments: Realtime Continuous, Meaningful Human Control over Deep Neural Networks for Creative Expression
2021
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Thinking of DNNs as tools that extract useful information from massive amounts of Big Data, we investigate ways in which we can navigate and explore what useful information a DNN has learnt, and how we ...
The capabilities of DNNs that we are looking to exploit and leverage in this manner, are their ability to learn hierarchical representations modelling highly complex, real-world data such as images. ...
You have been such a huge inspiration to me, and to so many people. You are deeply influential on my thinking about the topics in this thesis. You are a visionary and a pioneer. ...
doi:10.25602/gold.00030191
fatcat:huplzygwx5h4vmg3yvb7dzlota
Area Chairs
unpublished
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Foreword It is our great pleasure to welcome you to York for the 27th British Machine Vision Conference (BMVC). ...
BMVC is one of the top events in the Computer Vision conference calendar and must now be considered as a truly international event with the majority of papers coming from outside the UK. ...
Acknowledgements: This work was supported by a grant from Ford Motor Company via the Ford-UM Alliance under award N015392. ...
fatcat:qy4idlefnzf6xjwaxjjpd75tzy
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