04298nam a22005535i 4500 978-981-97-1749-1 DE-He213 20251030112846.0 cr nn 008mamaa 240809s2024 si | s |||| 0|eng d 9789819717491 978-981-97-1749-1 10.1007/978-981-97-1749-1 doi Q175.4-.55 JF bicssc SOC000000 bisacsh JB thema Hind, Sam. author. (orcid)0000-0001-8347-3695 https://orcid.org/0000-0001-8347-3695 aut http://id.loc.gov/vocabulary/relators/aut 82134 Driving Decisions [electronic resource] : How Autonomous Vehicles Make Sense of the World / by Sam Hind. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Palgrave Macmillan, 2024. XV, 269 p. 31 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 1. 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. This 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. . Science Social aspects. 69032 Human geography. 58506 Mass media and culture. 67749 Artificial intelligence. 58441 Science and Technology Studies. 69033 Human Geography. 58506 Media Culture. 67751 Sociology of Science. 82135 Artificial Intelligence. 58441 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819717484 Printed edition: 9789819717507 Printed edition: 9789819717514 https://doi.org/10.1007/978-981-97-1749-1 ZDB-2-SLS ZDB-2-SXS 62355 62355