01018nam0-22003491i-450 99000606245040332120180511121135.0000606245FED01000606245(Aleph)000606245FED0100060624520000112d1989----km-y0itay50------baitaIT--------00-yy<<I >>rapporti pendenti nel fallimento e la locazione finanziariaGuido BonfanteMilanoGiuffrè1989161 p.24 cmQuaderni di Giurisprudenza commerciale107346.0723itaBonfante,Guido140595ITUNINARICAUNIMARCBK990006062450403321A-V-A-81030 DIP.DDRC21-AB-1691229DDCPVIII G 244 (107)9829*FGBCDDCPDDRCFGBCRapporti pendenti nel fallimento e la locazione finanziaria197948UNINA04138nam 22006495 450 991048369440332120181112212433.0981-13-2245-710.1007/978-981-13-2245-7(CKB)4100000005471771(MiAaPQ)EBC5489374(DE-He213)978-981-13-2245-7(EXLCZ)99410000000547177120180806d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAutonomy and Unmanned Vehicles[electronic resource] Augmented Reactive Mission and Motion Planning Architecture /by Somaiyeh MahmoudZadeh, David M.W. Powers, Reza Bairam ZadehSingapore :Springer Singapore :Imprint: Springer,2019.1 online resource (116 pages)Cognitive Science and Technology,2195-3988981-13-2244-9 Introduction 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.This 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.Cognitive Science and Technology,2195-3988EngineeringMathematical optimizationArtificial intelligenceOperations researchComputer visionComputational Intelligencehttp://scigraph.springernature.com/things/product-market-codes/T11014Optimizationhttp://scigraph.springernature.com/things/product-market-codes/M26008Artificial Intelligencehttp://scigraph.springernature.com/things/product-market-codes/I21000Operations Research/Decision Theoryhttp://scigraph.springernature.com/things/product-market-codes/521000Control, Robotics, Mechatronicshttp://scigraph.springernature.com/things/product-market-codes/T19000Computer Imaging, Vision, Pattern Recognition and Graphicshttp://scigraph.springernature.com/things/product-market-codes/I22005Engineering.Mathematical optimization.Artificial intelligence.Operations research.Computer vision.Computational Intelligence.Optimization.Artificial Intelligence.Operations Research/Decision Theory.Control, Robotics, Mechatronics.Computer Imaging, Vision, Pattern Recognition and Graphics.623.74MahmoudZadeh Somaiyehauthttp://id.loc.gov/vocabulary/relators/aut1230082Powers David M.Wauthttp://id.loc.gov/vocabulary/relators/autBairam Zadeh Rezaauthttp://id.loc.gov/vocabulary/relators/autBOOK9910483694403321Autonomy and Unmanned Vehicles2855337UNINA