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2021 | OriginalPaper | Chapter

Challenges for and with Autonomous Vehicles: An Introduction

Authors : Steven Van Uytsel, Danilo Vasconcellos Vargas

Published in: Autonomous Vehicles

Publisher: Springer Nature Singapore

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Abstract

The deployment of autonomous vehicles has been announced for years. Yet, full autonomous vehicles are not on public roads. Elon Musk, speaking at an event during the first half of 2020, stated that his firm will be able to present a fully autonomous vehicle technology by the end of the year. This statement is met with skepticism, especially because several of the challenges that existed have not been solved. Road traffic laws have not been adjusted to face the reality of driving by an autonomous machine. The only way that full autonomous vehicles can hit public roads is through test procedures. There also exists quite some uncertainty on who should be liable for accidents with autonomous vehicles. Accidents may occur, and this is something that adversarial machine learning is showing. Even with the best set of sensors, the interpretation of the sensed environment may be misinterpreted. Connectivity is being suggested as a possible solution to several of the problems autonomous vehicles are facing. Deploying autonomous vehicles will also challenge business organization, as car manufacturers may turn their business vehicles into mobility service providers. This may require a different type of organization within the firm.

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Footnotes
1
Litman (2018), pp. 5–12. See also Meyboom (2019).
 
2
Carp (2018), p. 88.
 
3
Geistfeld (2017), p. 1617.
 
4
Gurney (2013), p. 215.
 
5
Litman (2018), p. 5.
 
6
Gurney (2013), p. 257.
 
7
Coppola and Esztergár-Kiss (2019), p. xi.
 
8
Coppola and Silvestri (2019), p. 8.
 
9
Coppola and Silvestri (2019), p. 9.
 
10
Coppola and Silvestri (2019), p. 10.
 
11
Geistfeld (2017), p. 1615.
 
12
Geistfeld (2017), p. 1615.
 
13
However, among the vehicles currently marketed to the public, Tesla is offering the most advanced autonomous vehicles, see Lim (2018). For an overview of the historical development, see Kellerman (2018), pp. 106–109. Audi is said to start commercialize a Level 3 vehicle in 2019, see Audi MediaCenter (2017); See also Abe (2018), p. 3. Hannah YeeFen Lim purports that in early 2018 the race for a Level 5 vehicle is being dominated by Google’s Waymo subsidiary and General Motors’ Cruise Automation subsidiary, see Lim (2018), p. 5. Ryosuke Abe reports that Nissan will test autonomously driving taxis in the high-density city of Yokohama and that Toyota would like to provide autonomous vehicles at the sites built for the Tokyo Olympics in 2020. No statement is made on the level of these vehicles, see Abe (2018), p. 3.
 
15
See supra footnote 13.
 
16
Lim (2018), p. 53.
 
17
See chapter Infrastructure Enabled Autonomy—Autonomy as a Service [this volume].
 
18
See chapter on Technology in the Driver’s Seat: Legal Obstacles and Regulatory Gaps in Road Traffic Law [this volume] See also Chapter on Testing Autonomous Vehicles On Public Roads: Facilitated by a Series of Alternative, Often Soft, Legal Instruments [this volume]. To the contrary, see Smith (2012).
 
19
See chapter on Different Liability Regimes for Autonomous Vehicles: One Preferable above the Other? [this volume].
 
20
See chapter on Design Thinking & Organizing-for-Innovation in the Automobile Firm of the Future [this volume].
 
21
Society of Automative Engineers (2018); See also Channon et al. (2019), pp. 4–5.
 
22
Lim (2018), p. 4.
 
23
Fuchs (2019).
 
24
Pearl (2017), p. 27.
 
25
Lim (2018), pp. 4–5.
 
26
Pearl (2017), pp. 28–29.
 
27
Fuchs (2019).
 
28
Lim (2018), p. 5. Many predictions have been made on when autonomous vehicles will hit the road (for a summary of these predictions, see Gurney (2013), pp. 248–251 (especially footnotes 8–15); Geistfeld (2017), p. 1615.
 
29
Lim (2018), p. 5.
 
30
Lim (2018), p. 6.
 
31
Surden and Williams (2017).
 
32
Surden and Williams (2017), pp. 11–12.
 
33
Lim (2018), p. 13.
 
34
Surden and Williams (2017), p. 17.
 
35
Surden and Williams (2017), p. 19.
 
36
Surden and Williams (2017), p. 19. The mistake can be “by several inches to feet.” See Lim (2018), p. 11.
 
37
Lim (2018), p. 10.
 
38
Fuchs (2019); Lim (2018), p. 10.
 
39
Lim (2018), p. 13.
 
40
Cameras can also be used for distance calculation. Pictures of the same object from different angles allows a computer to estimate the distance. This is called stereopsis.
 
41
Surden and Williams (2017), p. 20.
 
42
Surden and Williams (2017), p. 20.
 
43
Surden and Williams (2017), p. 20. See also Lim (2018), p. 8.
 
46
Lim (2018), p. 53.
 
51
See chapter on Sensors for Automated Driving [this volume].
 
52
Lim (2018), p. 53.
 
53
Braun (2019).
 
54
See chapter on Learning Systems Under Attack—Adversarial Attacks, Defenses and Beyond [this volume].
 
55
See, e.g., Eykholt et al. (2018); Carlini and Wagner (2017); Evtimov et al. (2017); Houben et al. (2013); Karungaru et al. (2013); Stallkampa et al. (2012).
 
56
Eykholt et al. (2018).
 
57
Sitawarin (2018), p. 2.
 
58
Sitawarin (2018), p. 11.
 
59
Carlini and Wagner (2017), p. 11.
 
60
Herrmann et al. (2018), pp. 25–29.
 
61
See chapter on Different Liability Regimes for Autonomous Vehicles: One Preferable above the Other? [this volume].
 
62
Coppola and Silvestri (2019), pp. 3–4.
 
63
Coppola and Silvestri (2019), p. 4.
 
64
Coppola and Silvestri (2019), p. 4.
 
65
Gasser (2016).
 
66
Gasser (2016), p. 542.
 
67
Chapter on Learning Systems Under Attack—Adversarial Attacks, Defenses and Beyond [this volume].
 
68
Callon et al. (2001).
 
69
Sunstein (2008).
 
70
See chapter on Testing Autonomous Vehicles On Public Roads: Facilitated by a Series of Alternative, Often Soft, Legal Instruments [this volume].
 
71
See, e.g., Lohsse et al. (2019).
 
72
See, e.g., Pearl (2017), Karner (2019), p. 121.
 
73
See, e.g., Schellekens (2018).
 
74
See, e.g., Abbott (2018); Chagal-Feferkorn (2018).
 
75
See, e.g., Spindler (2019), pp. 136–138.
 
76
See chapter on Different Liability Regimes for Autonomous Vehicles: One Preferable above the Other? [this volume].
 
77
See, e.g., Winkelman et al. (2019); Channon (2019), p. 47.
 
80
Coppola and Silvestri (2019), p. 9.
 
81
Van Uytsel (2020), p. 177.
 
82
Coppola and Silvestri (2019), p. 9.
 
83
Coppola and Silvestri (2019), p. 9.
 
84
Coppola and Silvestri (2019), p. 11.
 
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Metadata
Title
Challenges for and with Autonomous Vehicles: An Introduction
Authors
Steven Van Uytsel
Danilo Vasconcellos Vargas
Copyright Year
2021
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-15-9255-3_1