Search results: Found 3

Listing 1 - 3 of 3
Sort by
Autonomous Driving: Technical, Legal and Social Aspects

Authors: --- --- ---
ISBN: 9783662488454 9783662488478 Year: Pages: 706 DOI: 10.1007/978-3-662-48847-8 Language: English
Publisher: Springer Nature
Subject: Transportation
Added to DOAB on : 2017-02-21 14:37:55
License:

Loading...
Export citation

Choose an application

Abstract

This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies?Experts from Germany and the United States define key societal, engineering, and mobility issues related to the automation of vehicles. They discuss the decisions programmers of automated vehicles must make to enable vehicles to perceive their environment, interact with other road users, and choose actions that may have ethical consequences. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving. While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. Realizing the potential of automated vehicles to reorganize traffic and transform mobility of people and goods requires similar care in the design of vehicles and networks. By covering all of these topics, the book aims to provide a current, comprehensive, and scientifically sound treatmentof the emerging field of “autonomous driving".

Computation and the Humanities: Towards an Oral History of Digital Humanities

Authors: ---
Book Series: Springer Series on Cultural Computing ISSN: 2195-9056 ISBN: 9783319201696 9783319201702 Year: Pages: 285 DOI: 10.1007/978-3-319-20170-2 Language: English
Publisher: Springer Nature
Subject: Arts in general --- Computer Science
Added to DOAB on : 2017-03-02 09:53:09
License:

Loading...
Export citation

Choose an application

Abstract

This book addresses the application of computing to cultural heritage and the discipline of Digital Humanities that formed around it. Digital Humanities research is transforming how the Human record can be transmitted, shaped, understood, questioned and imagined and it has been ongoing for more than 70 years. However, we have no comprehensive histories of its research trajectory or its disciplinary development. The authors make a first contribution towards remedying this by uncovering, documenting, and analysing a number of the social, intellectual and creative processes that helped to shape this research from the 1950s until the present day.By taking an oral history approach, this book explores questions like, among others, researchers’ earliest memories of encountering computers and the factors that subsequently prompted them to use the computer in Humanities research.Computation and the Humanities will be an essential read for cultural and computing historians, digital humanists and those interested in developments like the digitisation of cultural heritage and artefacts.

Cognitive Supervision for Robot-Assisted Minimally Invasive Laser Surgery

Author:
Book Series: Springer Theses ISSN: 2190-5053 ISBN: 9783319303291 9783319303307 Year: Pages: 99 DOI: 10.1007/978-3-319-30330-7 Language: English
Publisher: Springer Nature
Subject: Medical technology
Added to DOAB on : 2016-12-20 12:03:50
License:

Loading...
Export citation

Choose an application

Abstract

This thesis lays the groundwork for the automatic supervision of the laser incision process, which aims to complement surgeons’ perception of the state of tissues and enhance their control over laser incisions. The research problem is formulated as the estimation of variables that are representative of the state of tissues during laser cutting. Prior research in this area leveraged numerical computation methods that bear a high computational cost and are not straightforward to use in a surgical setting. This book proposes a novel solution to this problem, using models inspired by the ability of experienced surgeons to perform precise and clean laser cutting. It shows that these new models, which were extracted from experimental data using statistical learning techniques, are straightforward to use in a surgical setup, allowing greater precision in laser-based surgical procedures.

Listing 1 - 3 of 3
Sort by
Narrow your search

Publisher

Springer Nature (3)


License

CC by-nc (2)

CC by (1)


Language

english (3)


Year
From To Submit

2016 (3)