 Autonomous Driving on the Thin Trail of Great Opportunities and Dangerous TrustSandro Mund () and
Patrick Glauner ()
A chapter in Innovative Technologies for Market Leadership, 2020, pp 153-165 from Springer Abstract: Abstract Achieving fully autonomous driving cars is a considerable technological milestone that will have significant impact on many lives and the adaption of new technologies. The question of when this milestone will be achieved is currently being debated and contradictory forecasts are increasingly being made. In this chapter, the most important components of self-driving cars are presented and different approaches are discussed. We show what makes autonomous driving so challenging and what misjudgments have been made in the past. In particular, the role of artificial intelligence will be illuminated to give a clear picture of what progress is realistic in the coming years. Next, we discuss related challenges that need to be solved in the coming years. Based on our own research, we will also show how hard it is to interpret models, like neural networks, i.e., understanding why they make the decisions they make in the context of self-driving. Date: 2020 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-030-41309-5_12 Ordering information: This item can be ordered from DOI: 10.1007/978-3-030-41309-5_12 Access Statistics for this chapter More chapters in Future of Business and Finance from Springer |
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