LEADER 04138nam  22006495  450 
001 9910483694403321
005 20181112212433.0
010   $a981-13-2245-7
024 7 $a10.1007/978-981-13-2245-7
035   $a(CKB)4100000005471771
035   $a(MiAaPQ)EBC5489374
035   $a(DE-He213)978-981-13-2245-7
035   $a(EXLCZ)994100000005471771
100   $a20180806d2019      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAutonomy and Unmanned Vehicles$b[electronic resource] $eAugmented Reactive Mission and Motion Planning Architecture /$fby Somaiyeh MahmoudZadeh, David M.W. Powers, Reza Bairam Zadeh
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019.
215   $a1 online resource (116 pages)
225 1 $aCognitive Science and Technology,$x2195-3988
311   $a981-13-2244-9 
327   $aIntroduction to Autonomy and Applications -- State-of-the-art in UVs? Autonomous Mission Planning and Task Managing Approach -- State-of-the-art in UVs? Autonomous Motion Planning -- Advancing Autonomy by Developing a Mission Planning Architecture -- Mission Planning in Terms of Task-Time Management and Routing -- AUV Online Real-Time Motion Planning -- Augmented Reactive Mission Planning Architecture.
330   $aThis book addresses higher?lower level decision autonomy for autonomous vehicles, and discusses the addition of a novel architecture to cover both levels. The proposed framework?s performance and stability are subsequently investigated by employing different meta-heuristic algorithms. The performance of the proposed architecture is shown to be largely independent of the algorithms employed; the use of diverse algorithms (subjected to the real-time performance of the algorithm) does not negatively affect the system?s real-time performance. By analyzing the simulation results, the book demonstrates that the proposed model provides perfect mission timing and task management, while also guaranteeing secure deployment. Although mainly intended as a research work, the book?s review chapters and the new approaches developed here are also suitable for use in courses for advanced undergraduate or graduate students.
410  0$aCognitive Science and Technology,$x2195-3988
606   $aEngineering
606   $aMathematical optimization
606   $aArtificial intelligence
606   $aOperations research
606   $aComputer vision
606   $aComputational Intelligence$3http://scigraph.springernature.com/things/product-market-codes/T11014
606   $aOptimization$3http://scigraph.springernature.com/things/product-market-codes/M26008
606   $aArtificial Intelligence$3http://scigraph.springernature.com/things/product-market-codes/I21000
606   $aOperations Research/Decision Theory$3http://scigraph.springernature.com/things/product-market-codes/521000
606   $aControl, Robotics, Mechatronics$3http://scigraph.springernature.com/things/product-market-codes/T19000
606   $aComputer Imaging, Vision, Pattern Recognition and Graphics$3http://scigraph.springernature.com/things/product-market-codes/I22005
615  0$aEngineering.
615  0$aMathematical optimization.
615  0$aArtificial intelligence.
615  0$aOperations research.
615  0$aComputer vision.
615 14$aComputational Intelligence.
615 24$aOptimization.
615 24$aArtificial Intelligence.
615 24$aOperations Research/Decision Theory.
615 24$aControl, Robotics, Mechatronics.
615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics.
676   $a623.74
700   $aMahmoudZadeh$b Somaiyeh$4aut$4http://id.loc.gov/vocabulary/relators/aut$01230082
702   $aPowers$b David M.W$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aBairam Zadeh$b Reza$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910483694403321
996   $aAutonomy and Unmanned Vehicles$92855337
997   $aUNINA