Security and Privacy in the Automotive Domain: A Technical and Social Analysis

Ma, Zhenliang; Seböck, Walter; Pospisil, Bettina; Schmittner, Christoph; Gruber, Thomas

doi:10.1007/978-3-319-66284-8_36

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…In the past, the drivers fully relied on the papers map which is now being replaced by the combination of verbal instructions and arrow indications in the automated vehicles. (Bösch et al, 2018;Fagnant and Kockelman, 2015) Initial investment cost of 70000$ Google Lidar (laser sensor) costs up to 75000$, whole setup cost around 150,000$ Liability and security (Ma et al, 2017;Rödel et al, 2014;Taeihagh and Lim, 2019) The car manufacturing company, sensor manufacturers or programmers will be liable in case of crash? Perceived security concern rises with level of autonomy.…”

Section: Rq4-challenges Faced By Using Self-driving Carsmentioning

confidence: 99%

People perception of autonomous vehicles: Legal and ethical issues

al.¹

2019

Int. j. adv. appl. sci.

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In past five years, self-driving or autonomous cars have achieved a great milestone that now they are commercially available as the Waymo Company emerged from Google autonomous car has started its service in suburbs of Phoenix from December 2018. Autonomous cars are able to sense their surrounding environment and their control system is able to interpret that information to identify navigation paths, road barriers and traffic signals. The journey of autonomous cars produced many questions regarding legal and ethical issues of autonomous cars. These cars combine a variety of information from its sensors including radars, lidar, sonar, GPS and odometry for real-time decision making. In this article, we have reviewed the literature to understand primary questions related to liability, ethics, and legal issues. From the last six years, 523 papers were selected, which were further shortlisted on the basis of relevance. Finally, 84 papers were shortlisted to conclude the discussion on tort liability, products, and strict liability. The utilitarianism, deontological and virtue ethics theories were discussed in terms of writing ethical code for designing autonomous cars. These cars are expected to decrease accidents by centralized traffic system through inter-vehicle communication. Furthermore, an online survey of 2021 participants was conducted in five different countries to understand perception and trust on different autonomy levels in self-driving cars. The participants showed their level of trust from a safety perspective, their concern about one time cost in the start, need of legislation by local governments and fear of rising in unemployment due to autonomous cars. The results indicate mix perception where people want this technology but are concerned about legal and ethical implications. The paper is helpful for researchers, manufacturers and law enforcement agencies in the implementation of autonomous cars.

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Section: Rq4-challenges Faced By Using Self-driving Carsmentioning

confidence: 99%

People perception of autonomous vehicles: Legal and ethical issues

al.¹

2019

Int. j. adv. appl. sci.

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Agents preserving privacy on intelligent transportation systems according to EU law

Carbo,

Pedraza,

Molina

2024

Artif Intell Law

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Intelligent Transportation Systems are expected to automate how parking slots are booked by trucks. The intrinsic dynamic nature of this problem, the need of explanations and the inclusion of private data justify an agent-based solution. Agents solving this problem act with a Believe Desire Intentions reasoning, and are implemented with JASON. Privacy of trucks becomes protected sharing a list of parkings ordered by preference. Furthermore, the process of assigning parking slots takes into account legal requirements on breaks and driving time limits. Finally, the agent simulations use the distances, the number of trucks and parkings corresponding to the proportions of the current European Union data. The performance of the proposed solution is tested in these simulations with three different distances against an alternative with complete knowledge. The difference in efficiency, the number of illegal breaks and the traveled distances are measured in them. Comparing the results, we can conclude that the nonprivate alternative is slightly better in performance while both alternatives do not produce illegal breaks. In this way the simulations show that the proposed privacy protection does not impose a relevant handicap in efficiency.

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Toward Privacy-Preserving Valet Parking in Autonomous Driving Era

Lin

Shen

2019

IEEE Trans. Veh. Technol.

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Security and Privacy in the Automotive Domain: A Technical and Social Analysis

Cited by 4 publications

References 6 publications

People perception of autonomous vehicles: Legal and ethical issues

People perception of autonomous vehicles: Legal and ethical issues

Agents preserving privacy on intelligent transportation systems according to EU law

Toward Privacy-Preserving Valet Parking in Autonomous Driving Era

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