In applications such as airport operations, military simulations, and medical simulations, conducting simulations in accurate and realistic settings that are represented by real video imaging sequences becomes essential. This paper surveys recent work that enables visually realistic model constructions and the simulation of synthetic objects which are inserted in video sequences, and illustrates how synthetic objects can conduct intelligent behavior within a visual augmented reality.
@article{RO_2004__38_2_89_0, author = {Hussain, Khaled and Kaptan, Varol}, title = {Modeling and simulation with augmented reality}, journal = {RAIRO - Operations Research - Recherche Op\'erationnelle}, pages = {89--103}, publisher = {EDP-Sciences}, volume = {38}, number = {2}, year = {2004}, doi = {10.1051/ro:2004014}, mrnumber = {2081832}, zbl = {1121.91320}, language = {en}, url = {http://www.numdam.org/articles/10.1051/ro:2004014/} }
TY - JOUR AU - Hussain, Khaled AU - Kaptan, Varol TI - Modeling and simulation with augmented reality JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2004 SP - 89 EP - 103 VL - 38 IS - 2 PB - EDP-Sciences UR - http://www.numdam.org/articles/10.1051/ro:2004014/ DO - 10.1051/ro:2004014 LA - en ID - RO_2004__38_2_89_0 ER -
%0 Journal Article %A Hussain, Khaled %A Kaptan, Varol %T Modeling and simulation with augmented reality %J RAIRO - Operations Research - Recherche Opérationnelle %D 2004 %P 89-103 %V 38 %N 2 %I EDP-Sciences %U http://www.numdam.org/articles/10.1051/ro:2004014/ %R 10.1051/ro:2004014 %G en %F RO_2004__38_2_89_0
Hussain, Khaled; Kaptan, Varol. Modeling and simulation with augmented reality. RAIRO - Operations Research - Recherche Opérationnelle, Tome 38 (2004) no. 2, pp. 89-103. doi : 10.1051/ro:2004014. http://www.numdam.org/articles/10.1051/ro:2004014/
[1] Motor Schema-Based Mobile Robot Navigation. Int. J. Robot. Res. 8 (1989) 92-112.
,[2] Behavior-Based Robotics. The MIT Press, Cambridge, Massachusetts (1998).
,[3] Dynamic registration correction in video-based reality systems. IEEE Comput. Graph. Appl. 15 (1995) 52-60.
and ,[4] Behavioral Diversity in Learning Robot Teams. Ph.D. Thesis, Georgia Institute of Technology (1998).
,[5] Reseaux neuronaux aleatoires stables. C.R. Acad. Sci. II 310 (1990) 177-180. | MR
,[6] A robust layered control system for a mobile robot. IEEE J. Robot. Autom. RA-2 14-23 (1986).
,[7] Cambrian Intelligence: The Early History of The New AI. The MIT Press, Cambridge, MA (1999). | Zbl
,[8] Low bit rate video compression with neural networks and temporal subsampling. Proc. IEEE 84 (1996) 1529-1543.
, and ,[9] Video quality and traffic QoS in learning-based subsampled and receiver-interpolated video sequences. IEEE J. Selected Areas in Communications 18 (2000) 150-167.
and ,[10] Adaptive object tracking and video compression. Netw. Inform. Syst. J. 1 (1999) 371-400.
and ,[11] Simulation driven virtual objects in real scenes. Proc. ITSEC 2000, Orlando, FL (Nov. 2000).
, , , and ,[12] Reseaux stochastiques ouverts avec clients negatifs et positifs, et reseaux neuronaux. C.R. Acad. Sci. Paris II 309 (1989) 979-982. | MR
,[13] Random neural networks with positive and negative signals and product form solution. Neural Comput. 1 (1989) 502-510.
,[14] Stable random neural networks. Neural Comput. 2 (1990) 239-247. | MR
,[15] Learning in the recurrent random network. Neural Comput. 5 (1993) 154-164.
,[16] Modeling CGF with learning stochastic finite-state machines. Proc. 8th Conference on Computer Generated Forces, Orlando, May 11-13, 113-116.
,[17] Simulation with goal-oriented agents. in EUROSIM 2001. Delft University of Technology Delft, Netherlands, 26-30 June (2001).
,[18] Applications of spiked recurrent stochastic networks in 13th International Conference on Artificial Neural Networks & 10th International Conference on Neural Information Processing, 26-29 June (2003).
,[19] Spiked random neural networks, product forms, learning and approximation in Conference on Analytical and Stochastic Modeling Techniques and Applications, European Simulation Multi-conference, Nottingham, UK, 9-11 June (2003).
,[20] Traffic and video quality in adaptive neural compression. Multimedia Systems 4 (1996) 357-369.
, , and ,[21] Neural network methods for volumetric magnetic resonance imaging of the human brain. Proc. IEEE 84 (1996) 1488-1496.
, and ,[22] Random neural networks with multiple classes of signals. Neural Comput. 11 (1999) 953-963.
and ,[23] Learning in the multiple class random neural network. IEEE Trans. on Neural Networks 13 (2002) 1257-1267.
and ,[24] Realistic simulation of cooperating robots, in Proc. CTS'03 (International Symposium on Collaborative Technologies and Systems), WMC'03 Society for Computer Simulation, Orlando, 19-23 January (2003), 151-156.
, and ,[25] Simulating Autonomous Agents in Augmented Reality. Submitted for publication.
, and ,[26] Discrete event simulation using goal oriented learning agents, AI, Simulation & Planning in High Autonomy Systems, SCS, Tucson, Arizona, March 6-8 (2000).
, and ,[27] Simulation with learning agents. Proc. IEEE 89 (2001) 148-157.
, and ,[28] Augmented reality for underground pipe inspection and maintenance, in SPIE Conference on Telemanipulator and Telepresence Technologies, Boston, Massachusetts, 3524 (1998) 98-104.
,[29] Reinforcement learning in the multi-robot domain. Autonomous Robots 4 (1997) 73-83.
,[30] Enhanced reality visualization in a surgical environment. M.S. Thesis, Department of Electrical Engineering, MIT (January 1995).
,[31] Multi-agent reinforcement learning: A modular approach in Proc. of the 2nd Int. Conf. on Multi-Agent Systems. AAAI Press (1996) 252-258.
and ,[32] A modular approach to multi-agent reinforcement learning, edited by Gerhard Weiss in Springer-Verlag, Distributed Artificial Intelligence Meets Machine Learning, (1997) 167.
and ,[33] Implementing Coordinated Movement. Game Developer Magazine (1999).
,[34] Social Potential Fields: A Distributed Behavioral Control for Autonomous Robots, in International Workshop on Algorithmic Foundations of Robotics (WAFR), edited by A.K. Peters, Wellesley, MA (1998) 431-459. | Zbl
and ,[35] Flocks, Herds, and Schools: A Distributed Behavioral Model. Comput. Graph. 21 (1987) 25-34.
,[36] Steering Behaviors for Autonomous Characters. Game Developers Conference (1999).
,[37] The Artificial Life Roots of Artificial Intelligence. Artificial Life 1 (1993) 75-110.
,[38] Multi-Agent Reinforcement Learning: Independent versus Cooperative Agents, in International Conference on Machine Learning (1993) 330-337.
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