Driving Decisions: How Autonomous Vehicles Make Sense of the World

Research output: Book/ReportBookpeer-review

Abstract

Driving Decisions: How Autonomous Vehicles Make Sense of the World examines the phenomenon of autonomous driving, and the ongoing, complex, costly, and contentious quest to automate driving. Principally organized around the concept of algorithmic decision-making, the book considers how different mapping, sensing, and machine learning (ML)-dependent capabilities are gifted to autonomous vehicles through different kinds of technical work: from computer science students annotating visual data in industry-funded research centres to software engineers designing ‘end-to-end’ ML models at autonomous vehicle start-ups.

The book intends to complicate, and question, typical understandings of autonomous driving by going ‘under the hood’, challenging the technological determinism or ‘decisionism’ that advocates offer of an inevitable, fully automated, future. Drawing on seven years of research in a range of empirical contexts, the book will appeal to scholars and students in the fields of science and technology studies, media studies, digital sociology, human geography, and mobilities and transport studies.
Original languageEnglish
Place of PublicationBasingstoke
PublisherPalgrave Macmillan Ltd
Number of pages269
ISBN (Electronic)9789819717491
ISBN (Print)9789819717484
DOIs
Publication statusPublished - 9 Aug 2024

Keywords

  • autonomous driving
  • decision-making
  • sensing
  • mapping
  • machine-learning
  • artificial intelligence (AI)
  • digital media and culture
  • sociology and politics of science
  • digital navigation
  • digital sociology
  • mobilities and transport studies
  • platform studies
  • digital methods
  • self-driving cars
  • autonomous vehicles

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