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Dual Architecture Deep Learning Based Object Detection System for Autonomous Driving

2021 Iraqi Journal of Computer, Communication, Control and System Engineering  
This approach is reliable demonstrating an upgrade on the existing state-of-the-art methods of fully connected networks.  ...  This work presents a deep learning approach based on a dual architecture design of the network.  ...  Instead of the common FPN network, a modified network is used with fusion factor so that deep layers deliver to shallow layers to control information for tiny object detection adaptation.  ... 
doi:10.33103/uot.ijccce.21.2.3 fatcat:egv5yuxrkncpvnh2odrz5ctala

Towards autonomic management of communications networks

Brendan Jennings, Sven Van Der Meer, Sasitharan Balasubramaniam, Dmitri Botvich, Micheal O Foghlu, William Donnelly, John Strassner
2007 IEEE Communications Magazine  
This work received support from Science Foundation Ireland under the Autonomic Management of Communications Networks and Services award (grant no. 04/IN3/I404C).  ...  ACKNOWLEDGEMENTS We wish to acknowledge the valuable insights provided by Nazim Agoulmine in the development of FOCALE and the work on prototype design and implementation performed by Keara Barrett, Alan  ...  Given this, a key goal of our work is to develop an architecture for autonomic network management that can profitably integrate the top-down explicit control model of traditional network management with  ... 
doi:10.1109/mcom.2007.4342833 fatcat:qcreeful35eo3gtwtlpobyrj4m

Control architectures for autonomous underwater vehicles

1997 IEEE Control Systems  
A summary of 25 existing AUVs and a review of 11 AUV control architecture systems present a flavor of the state of the art in AUV technology.  ...  to develop a control architecture for an AUV.  ...  The control architecture for an autonomous underwater equipment, and application [7] This is followed by a review of 19.  ... 
doi:10.1109/37.642974 fatcat:jxpg2hyhkbfsrazirwc36ejjee

2020 Index IEEE Transactions on Intelligent Vehicles Vol. 5

2020 IEEE Transactions on Intelligent Vehicles  
Li, Y., +, TIV Sept. 2020 461-474 Information systems Implicit Personalization in Driving Assistance: State-of-the-Art and Open Issues.  ...  ., +, TIV March 2020 149-164 Systems architecture An Attribute-Isolated Secure Communication Architecture for Intelligent Connected Vehicles.  ... 
doi:10.1109/tiv.2020.3048338 fatcat:4i46o4q23rftbhh2jzfmbumbey

Special Issue on Internet of Things for Connected Automated Driving

Dongpu Cao, Li Li, Clara Marina, Long Chen, Yang Xing, Weihua Zhuang
2020 IEEE Internet of Things Journal  
The IoT-based transportation system can provide enormous connections of devices and sensors for the networked automated vehicles.  ...  The heavy demand for IoT technologies for modern automotive systems and transportations requires novel approaches and rethinking of the design of next-generation vehicular networks, particularly for the  ... 
doi:10.1109/jiot.2020.2981103 fatcat:fg5v7lpqe5bq7bum626m43laja

Deep Surrogate Models for Multi-dimensional Regression of Reactor Power [article]

Akshay J. Dave, Jarod Wilson, Kaichao Sun
2020 arXiv   pre-print
For operation, an area of interest is the development of fully autonomous reactor control.  ...  The results indicate that neural networks are an appropriate choice for surrogate models to implement in an autonomous reactor control framework.  ...  Additionally, the architectures of neural networks can be modified to address varying problems (regression of power distribution, or, inversely regression of control rod position).  ... 
arXiv:2007.05435v2 fatcat:at74ffco6raljl2nxej3mcl5km

An Architecture of Hybrid Neural Network Based Navigation System for Mobile Robot

Andrev V. Gavrilov, Sungyoung Lee
2007 Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007)  
This paper presents novel hybrid architecture of control system of mobile robot oriented on navigation tasks and based on hybrid neural network MLP-ART2.  ...  Using of this model allows movement to target avoiding the obstacles almost without assistance of human operator after just small learning.  ...  Architecture of control system Proposed modified architecture, based on hybrid neural network MLP-ART2 is shown in figure 1. Figure 1.  ... 
doi:10.1109/isda.2007.49 dblp:conf/isda/GavrilovL07 fatcat:rocaxznuxbcfnhv2queimgbk34

An Architecture of Hybrid Neural Network Based Navigation System for Mobile Robot

Andrev V. Gavrilov, Sungyoung Lee
2007 Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007)  
This paper presents novel hybrid architecture of control system of mobile robot oriented on navigation tasks and based on hybrid neural network MLP-ART2.  ...  Using of this model allows movement to target avoiding the obstacles almost without assistance of human operator after just small learning.  ...  Architecture of control system Proposed modified architecture, based on hybrid neural network MLP-ART2 is shown in figure 1. Figure 1.  ... 
doi:10.1109/isda.2007.4389671 fatcat:27qtgonlxjbr5bq2adbrjtccqq

Towards Self-optimizing Protocol Stack for Autonomic Communication: Initial Experience [chapter]

Xiaoyuan Gu, Xiaoming Fu, Hannes Tschofenig, Lars Wolf
2006 Lecture Notes in Computer Science  
Questioning if layering is still an adequate foundation for autonomic protocol stack design, we study the state-of-the-art from both the layered camp and its counterpart.  ...  With inspirations from the natural ecosystem, we are working on the role-based Composable Functional System for self-optimization that features proactive monitoring and control.  ...  In addition, we would like to thank OPNET Inc. for providing OPNET Modeler for the modeling of POEM.  ... 
doi:10.1007/11687818_15 fatcat:hwzs5nt5k5g25a46pilabcyn4q

Autonomous Management and Control of Sensor Network-Based Applications

A.G. Ruzzelli, C. Muldoon, A. Schoofs, T. Campana, G.M.P. O'Hare, R. Tynan
2009 2009 International Conference on Computational Science and Engineering  
This paper sets the basis for a full autonomous network management via a multi agent system to work with Octopus.  ...  Network management is also a challenging task for the remote user due to the large-scale of the network and scarce visibility of live network happenings.  ...  ACKNOWLEDGEMENTS The authors would like to acknowledge the kind support of (SFI) under grant 07/CE/I1147  ... 
doi:10.1109/cse.2009.480 dblp:conf/cse/RuzzelliMSCOT09 fatcat:tfgonsfoifhtfb52eyj26hts2m

An integrated architecture for autonomous vehicles simulation

José L. F. Pereira, Rosaldo J. F. Rossetti
2012 Proceedings of the 27th Annual ACM Symposium on Applied Computing - SAC '12  
However, these tools still do not account for some integration capabilities amongst several state-of-the-art Intelligent Transportation Systems, e.g. to study autonomous driving behaviors in human-steered  ...  Modeling and simulation tools are being increasingly acclaimed in the research field of autonomous vehicles systems, as they provide suitable test beds for the development and evaluation of such complex  ...  As we are all aware, the advent of autonomous vehicles will boost the need for modern R&D tools for such complex systems to be evaluated.  ... 
doi:10.1145/2245276.2245333 dblp:conf/sac/PereiraR12 fatcat:4autawaemjhgnowrano7pe6ciy

Towards Reliable Multisensory Perception and Its Automotive Applications

András Rövid, Viktor Remeli, Norbert Paufler, Henrietta Lengyel, Máté Zöldy, Zsolt Szalay
2020 Periodica Polytechnica Transportation Engineering  
Autonomous driving poses numerous challenging problems, one of which is perceiving and understanding the environment.  ...  vehicle's surroundings must reliably be recognized and localized), thus the perception might be considered as one of the most critical subsystems in an autonomous vehicle.  ...  Acknowledgement The research reported in this paper was supported by the Higher Education Excellence Program in the frame of Artificial Intelligence research area of Budapest University of Technology and  ... 
doi:10.3311/pptr.15921 fatcat:3cl66sjo4veffntqt7kia6k3ey

The Application of Fuzzy ARTMAP in the Detection of Computer Network Attacks [chapter]

James Cannady, Raymond C. Garcia
2001 Lecture Notes in Computer Science  
The timely and accurate detection of computer and network system intrusions has always been an elusive goal for system administrators and information security researchers.  ...  This paper presents a new approach to applying adaptive neural networks to intrusion detection that is capable of autonomously learning new attacks rapidly using feedback from the protected system. 1 new  ...  The second series of tests were conducted to evaluate the ability of the FAM architecture to autonomously learn and identify attack sequences in a network data stream.  ... 
doi:10.1007/3-540-44668-0_32 fatcat:xlm6s22snvfcffaoapcbowa7wq

Architecture for auto configuration of tools for industrial robots

Michael Weyrich, Matthias Scharf
2013 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)  
This architecture forms the fundament for developing an auto configurable system consisting of a robot, a robotic tool and a work piece.  ...  A new tool for example has to be adapted and configured autonomous in sense of "plug & produce" without an operator in action.  ...  System Architecture In figure 4 the architecture for an autonomous data exchange between robot controller, robotic tool and product is shown.  ... 
doi:10.1109/etfa.2013.6648069 dblp:conf/etfa/WeyrichS13 fatcat:r5eln22zwnb3pbtqe2rxnefmzy

A virtual Environment Interface to Compare Autonomous Perceptual Systems

Thomas P. Caudell
1995 International Journal of Virtual Reality  
We describe an initial application under development where the Encephalon, a biologically motivated neural architecture, is used to control a robotics system.  ...  Encephalon modules are represented in the Homunculus as 3D icons. Information flow between modules of the neural network is represented as graphical animations.  ...  The basis for the sequence recognition function of the LAP ART architecture is the coupling of two pattern classifier networks through a system of lateral interconnects.  ... 
doi:10.20870/ijvr.1995.1.1.2600 fatcat:yv4xfoc5dfcabew77cy72dtktm
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