LEADER 04120nam 22006135 450 001 9910879589803321 005 20250807140249.0 010 $a9789819717491 024 7 $a10.1007/978-981-97-1749-1 035 $a(CKB)33812308400041 035 $a(MiAaPQ)EBC31596373 035 $a(Au-PeEL)EBL31596373 035 $a(DE-He213)978-981-97-1749-1 035 $a(EXLCZ)9933812308400041 100 $a20240809d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDriving Decisions $eHow Autonomous Vehicles Make Sense of the World /$fby Sam Hind 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Palgrave Macmillan,$d2024. 215 $a1 online resource (278 pages) 311 08$a9789819717484 320 $aIncludes bibliographical references and index. 327 $a1. Introduction: The Making of Decisions and Technological Decisionism -- 2. Mapping Decisions: The Promise of Mapless-ness -- 3. Training Decisions: Ground-Truthing the Interesting -- 4. Sensing Decisions: Perceiving, Classifying, Finessing -- 5. Demonstrating Decisions: Waymo?s World -- 6. Securing Decisions: Sovereignty and Semiconductors -- 7. Relaxing Decisions: Making Driving Chill -- 8. Resisting Decisions: Coneheads in California. 330 $aThis book examines the phenomenon of autonomous driving, and the ongoing, complex, costly, and contentious quest to automate driving. It is organized around the concept of algorithmic decision-making, with a particular focus on the ?advance decisions? necessary to automate driving, and driving decisions as rudimentary as turning a corner, merging onto a motorway, or stopping at traffic lights. The author investigates how mapping, sensing, and machine learning capabilities are gifted to autonomous vehicles through the technical work performed by an array of actors in multiple locations: from users of advanced driver assistance devices enthusiastically serving as volunteer data collectors, to graduate students developing computational solutions in university research initiatives, and from software developers running computer simulations at big tech firms to their counterparts at autonomous vehicle start-ups overseeing active robotaxi services. This book intends to complicate, and question, typical understandings of autonomous driving by going ?under the hood?, challenging the determinism, or ?technological decisionism?, that advocates depend on to offer their vision of an inevitable, fully automated, future. It will appeal to scholars and students in the fields of Science and Technology Studies, media studies, digital sociology, human geography, mobilities and transport studies, and digital methodologies. Sam Hind is a Lecturer in Digital Media and Culture at the University of Manchester, UK. He researches digital navigation, sensing, and automobility through the lens of algorithmic decision-making. He has studied technological shifts in driving and automotive navigation for over 10 years, with a particular interest in how big tech companies have sought to disrupt the automotive industry. . 606 $aScience$xSocial aspects 606 $aHuman geography 606 $aMass media and culture 606 $aArtificial intelligence 606 $aScience and Technology Studies 606 $aHuman Geography 606 $aMedia Culture 606 $aSociology of Science 606 $aArtificial Intelligence 615 0$aScience$xSocial aspects. 615 0$aHuman geography. 615 0$aMass media and culture. 615 0$aArtificial intelligence. 615 14$aScience and Technology Studies. 615 24$aHuman Geography. 615 24$aMedia Culture. 615 24$aSociology of Science. 615 24$aArtificial Intelligence. 676 $a629.046 700 $aHind$b Sam$01349198 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910879589803321 996 $aDriving Decisions$94206645 997 $aUNINA