| ISBN |
0262035227 (hardcover)
|
| ISBN13桁 |
9780262035224 (hardcover)
|
| テキストの言語 |
英語
|
| 分類：NDC10版 |
537
|
| 個人著者標目 |
Lipson, Hod,
|
| 本タイトル |
Driverless :
|
| タイトル関連情報 |
intelligent cars and the road ahead /
|
| 著者名 |
Hod Lipson and Melba Kurman.
|
| 出版地・頒布地 |
Cambridge, Massachusetts :
|
| 出版者・頒布者名 |
The MIT Press,
|
| 出版年・頒布年 |
[2016],
|
| 数量 |
x, 312 pages :
|
| 他の形態的事項 |
illustrations ;
|
| 大きさ |
24 cm
|
| 書誌注記 |
Includes bibliographical references (pages 291-306) and index.
|
| 内容注記 |
The robotic chauffeur -- A driverless world -- The ultimate mobility device -- A mind of its own -- Creating artificial perception -- First there were electronic highways -- Build smart cars first, not smart highways -- Rise of the robots -- Anatomy of a driverless car -- Deep learning: the final piece of the puzzle -- Fueled by data -- The ripple effects.
|
| 要約、抄録、注釈等 |
"Few inventions have changed life as much as the car. These large hunks of steel and horsepower are everywhere, so ubiquitous and deeply intertwined with our lives, jobs and families that we barely pay them any attention. The mundane car, however, is about to become the ultimate mobility device. Thanks to rapid advances in robotics and artificial intelligence, cars are poised to morph into the first mainstream autonomous robots that we will entrust with our lives, creating a cascade of social and economic change. - How do driverless cars work? - Why has it taken nearly 100 years to create a working driverless car? - What are the technological and social barriers? - How do roboticists create artificial perception and what is "Deep Learning"? - How will this technology change our lives, our businesses, and our cities? - What new opportunities lie ahead?"--Provided by publisher.
|
| 著者標目 |
Kurman, Melba,
|
| 一般件名 |
Automobiles -- Automatic control.
Autonomous vehicles. |
| 資料情報1 |
『Driverless :
intelligent cars and the road ahead /』 Hod Lipson and Melba Kurman. The MIT Press, [2016],
（所蔵館：中央
請求記号：F/537.0/L76/D
資料コード：7108335579）
|
| URL |
https://catalog.library.metro.tokyo.lg.jp/winj/opac/switch-detail.do?lang=ja&bibid=1352023587 |
