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Driving Decisions

How Autonomous Vehicles Make Sense of the World

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Éditeur :

Palgrave Macmillan


Paru le : 2024-08-08



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Description

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.
Pages
269 pages
Collection
n.c
Parution
2024-08-08
Marque
Palgrave Macmillan
EAN papier
9789819717484
EAN PDF
9789819717491
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
11551 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
116,04 €
EAN EPUB
9789819717491
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
18145 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
116,04 €

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 and AI. 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.

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