001441005 000__ 03159cam\a2200529\a\4500
001441005 001__ 1441005
001441005 003__ OCoLC
001441005 005__ 20230309004714.0
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001441005 019__ $$a1285773400$$a1285781521$$a1285870540$$a1285886391$$a1286428117$$a1292517909$$a1294366900
001441005 020__ $$a9783030815646$$q(electronic bk.)
001441005 020__ $$a3030815641$$q(electronic bk.)
001441005 020__ $$z3030815633
001441005 020__ $$z9783030815639
001441005 0247_ $$a10.1007/978-3-030-81564-6$$2doi
001441005 035__ $$aSP(OCoLC)1285919325
001441005 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dDKU$$dOCLCO$$dDCT$$dN$T$$dAUD$$dOCLCO$$dOCLCQ$$dUKAHL$$dOCLCQ
001441005 049__ $$aISEA
001441005 050_4 $$aTL152.8
001441005 08204 $$a629.04/6$$223
001441005 1001_ $$aShi, Weisong,$$eauthor.
001441005 24510 $$aComputing systems for autonomous driving /$$cWeisong Shi, Liangkai Liu.
001441005 260__ $$aCham, Switzerland :$$bSpringer,$$c2021.
001441005 300__ $$a1 online resource
001441005 336__ $$atext$$btxt$$2rdacontent
001441005 337__ $$acomputer$$bc$$2rdamedia
001441005 338__ $$aonline resource$$bcr$$2rdacarrier
001441005 347__ $$atext file
001441005 347__ $$bPDF
001441005 504__ $$aIncludes bibliographical references and index.
001441005 5050_ $$aAutonomous Driving Landscape -- Computing Framework for Autonomous Driving -- Algorithm Deployment Optimization -- Systems Runtime Optimization -- Dataset and Benchmark -- Autonomous Driving Simulators -- Hardware Platforms -- Smart Infrastructure for Autonomous Driving -- Challenges and Open Problems.
001441005 506__ $$aAccess limited to authorized users.
001441005 520__ $$aThis book on computing systems for autonomous driving takes a comprehensive look at the state-of-the-art computing technologies, including computing frameworks, algorithm deployment optimizations, systems runtime optimizations, dataset and benchmarking, simulators, hardware platforms, and smart infrastructures. The objectives of level 4 and level 5 autonomous driving require colossal improvement in the computing for this cyber-physical system. Beginning with a definition of computing systems for autonomous driving, this book introduces promising research topics and serves as a useful starting point for those interested in starting in the field. In addition to the current landscape, the authors examine the remaining open challenges to achieve L4/L5 autonomous driving. Computing Systems for Autonomous Driving provides a good introduction for researchers and prospective practitioners in the field. The book can also serve as a useful reference for university courses on autonomous vehicle technologies.
001441005 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 7, 2021).
001441005 650_0 $$aAutomated vehicles.
001441005 650_6 $$aVéhicules autonomes.
001441005 655_0 $$aElectronic books.
001441005 7001_ $$aLiu, Liangkai,$$eauthor.
001441005 77608 $$iPrint version:$$z3030815633$$z9783030815639$$w(OCoLC)1257401518
001441005 852__ $$bebk
001441005 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-81564-6$$zOnline Access$$91397441.1
001441005 909CO $$ooai:library.usi.edu:1441005$$pGLOBAL_SET
001441005 980__ $$aBIB
001441005 980__ $$aEBOOK
001441005 982__ $$aEbook
001441005 983__ $$aOnline
001441005 994__ $$a92$$bISE