scholarly journals Off to the Races

2016 ◽  
Vol 138 (01) ◽  
pp. 36-41
Author(s):  
Dan Ferber
Keyword(s):  
Coming Out ◽  
Research Team ◽  
Race Car ◽  
Autonomous Cars ◽  
Race Car Drivers ◽  
Will Force ◽  
Self Driving Cars ◽  
Better Than

This article is on the efforts that are being made to manufacture and launch automatic cars successfully. Chris Gerdes and his team have been doing research and putting lot of efforts in designing self-driving cars that can handle emergencies even better than the very best human drivers. The research team studies professional race car drivers to learn minutest details for their algorithms and measurements. In a way, the research team analysts teach a car to drive like a race car driver - to calculate when to brake before a turn, how much to let up on the brake entering a turn, and how much to throttle coming out of it. Impressive for a car with no driver, however, Gerdes and his team want to raise the stakes. However, the team’s autonomous cars have operated alone on the tracks or roads. Now, Gerdes is ready to test them in traffic and on icy roads that will force the automated cars to adapt driving tactics midstream.

Autonomy and Responsibility in Hybrid Systems

2017 ◽  
Author(s):  
Wulf Loh ◽  
Janina Loh
Keyword(s):  
Hybrid Systems ◽  
Hybrid System ◽  
Moral Dilemma ◽  
Autonomous Driving ◽  
Shared Responsibility ◽  
Driving System ◽  
Autonomous Cars ◽  
Self Driving Cars ◽  
Trolley Cases ◽  
Autonomous Driving System

In this chapter, we give a brief overview of the traditional notion of responsibility and introduce a concept of distributed responsibility within a responsibility network of engineers, driver, and autonomous driving system. In order to evaluate this concept, we explore the notion of man–machine hybrid systems with regard to self-driving cars and conclude that the unit comprising the car and the operator/driver consists of such a hybrid system that can assume a shared responsibility different from the responsibility of other actors in the responsibility network. Discussing certain moral dilemma situations that are structured much like trolley cases, we deduce that as long as there is something like a driver in autonomous cars as part of the hybrid system, she will have to bear the responsibility for making the morally relevant decisions that are not covered by traffic rules.

scholarly journals Assessment of Dietary Intake of Long-Distance Race Car Drivers—A Pilot Study

Sports ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 118
Author(s):  
Edem Appiah-Dwomoh ◽  
Anja Carlsohn ◽  
Frank Mayer
Keyword(s):  
Dietary Intake ◽  
Adult Population ◽  
Dietary Recommendations ◽  
Long Distance ◽  
Dietary Recall ◽  
Race Car ◽  
Race Car Drivers ◽  
The Mean ◽  
And Performance ◽  
Long Distance Race

Long-distance race car drivers are classified as athletes. The sport is physically and mentally demanding, requiring long hours of practice. Therefore, optimal dietary intake is essential for health and performance of the athlete. The aim of the study was to evaluate dietary intake and to compare the data with dietary recommendations for athletes and for the general adult population according to the German Nutrition Society (DGE). A 24-h dietary recall during a competition preparation phase was obtained from 16 male race car drivers (28.3 ± 6.1 years, body mass index (BMI) of 22.9 ± 2.3 kg/m2). The mean intake of energy, nutrients, water and alcohol was recorded. The mean energy, vitamin B2, vitamin E, folate, fiber, calcium, water and alcohol intake were 2124 ± 814 kcal/day, 1.3 ± 0.5 mg/day, 12.5 ± 9.5 mg/day, 231.0 ± 90.9 ug/day, 21.4 ± 9.4 g/day, 1104 ± 764 mg/day, 3309 ± 1522 mL/day and 0.8 ± 2.5 mL/day respectively. Our study indicated that many of the nutrients studied, including energy and carbohydrate, were below the recommended dietary intake for both athletes and the DGE.

scholarly journals Autonomous cars and responsible innovation

2020 ◽  
Author(s):  
Miklós Lukovics ◽  
Bence Zuti ◽  
Erik Fisher ◽  
Béla Kézy
Keyword(s):  
Relevant Literature ◽  
Responsible Innovation ◽  
General Strategy ◽  
Large Samples ◽  
Societal Challenges ◽  
Autonomous Cars ◽  
Social Ordering ◽  
Primary Focus ◽  
Self Driving Cars ◽  
Global World

Digitalization, a dominant megatrend in today’s global world, offers numerous intriguing technological possibilities. Out of these novelties, self-driving cars have rapidly come to be a primary focus; the literature categorizes them as a radical innovation due to the possibility that the mass adoption of self-driving cars would not only radically change everyday life for members of industrialized societies, but calls into question the infrastructural, legal, and social ordering of towns and numerous aspects of transportation in the societies that adopt them. Meanwhile, the results of several international surveys with large samples show that public opinion of self-driving cars is ambivalent, indicating parallel signals of enthusiasm and concern. The aim of this paper is to develop key components of a general strategy for addressing the societal challenges associated with self-driving cars as identified in international surveys and relevant literature and using the framework of responsible innovation.

scholarly journals Insights into vehicle trajectories at the handling limits: analysing open data from race car drivers

2016 ◽  
Vol 55 (2) ◽  
pp. 191-207 ◽  
Author(s):  
John C. Kegelman ◽  
Lene K. Harbott ◽  
J. Christian Gerdes
Keyword(s):  
Open Data ◽  
Race Car ◽  
Vehicle Trajectories ◽  
Race Car Drivers

A Physiological Profile of High Performance Race Car Drivers

1994 ◽  
Author(s):  
James W. Lighthall ◽  
John Pierce ◽  
Stephen E. Olvey
Keyword(s):  
High Performance ◽  
Physiological Profile ◽  
Race Car ◽  
Race Car Drivers

scholarly journals Ultra-high Cleanliness of ISO Class Minus 2 Realized by Clean-Unit System Platform for Integrating the Bottom-up and Top-down Systems

2013 ◽  
Vol 61 (2) ◽  
pp. 157-160
Author(s):  
Md Dalilur Rahaman ◽  
Hideo Kaiju ◽  
Akira Ishibashi
Keyword(s):  
Stainless Steel ◽  
Coming Out ◽  
Feedback Loop ◽  
High Efficiency ◽  
Top Down ◽  
Airborne Particle ◽  
Particle Count ◽  
Unit System ◽  
Better Than ◽  
Number Of Particles

The time dependence of the airborne particle count and the cleanliness of an airtight stainless steel clean-unit system platform (S-CUSP) with 100% air feedback through the feedback loop by installing the ultra low penetration air (ULPA) filter just beneath the high efficiency particulate air (HEPA) filter in the feedback loop has been studied. By controlling the number of particles coming out from the HEPA filter, the ultra high cleanliness of ISO class minus 2 has been obtained, which is five orders of magnitude better than that of the super cleanroom (ISO Class 3). Analyses of the experimental results demonstrate that the S-CUSP with flat feedback loop would be a viable economical means to achieve the more stringent cleanliness class, which has the immense importance for expediting the multi-disciplinary experiments and production fields such as nanotechnologies and biotechnologies. DOI: http://dx.doi.org/10.3329/dujs.v61i2.17063 Dhaka Univ. J. Sci. 61(2): 157-160, 2013 (July)

Witness of Things

2019 ◽  
Vol 7 (2) ◽  
pp. 72-87 ◽  
Author(s):  
Serkan Ayvaz ◽  
Salih Cemil Cetin
Keyword(s):  
Autonomous Vehicles ◽  
Vehicular Networks ◽  
Autonomous Vehicle ◽  
Content Type ◽  
Record Keeping ◽  
Vehicle To Vehicle ◽  
Autonomous Cars ◽  
Vehicle To Infrastructure ◽  
Governmental Institutions ◽  
Self Driving Cars

Purpose The purpose of this paper is to develop a model for autonomous cars to establish trusted parties by combining distributed ledgers and self-driving cars in the traffic to provide single version of the truth and thus build public trust. Design/methodology/approach The model, which the authors call Witness of Things, is based on keeping decision logs of autonomous vehicles in distributed ledgers through the use of vehicular networks and vehicle-to-vehicle/vehicle-to-infrastructure (or vice versa) communications. The model provides a single version of the truth and thus helps enable the autonomous vehicle industry, related organizations and governmental institutions to discover the true causes of road accidents and their consequences in investigations. Findings In this paper, the authors explored one of the potential effects of blockchain protocol on autonomous vehicles. The framework provides a solution for operating autonomous cars in an untrusted environment without needing a central authority. The model can also be generalized and applied to other intelligent unmanned systems. Originality/value This study proposes a blockchain protocol-based record-keeping model for autonomous cars to establish trusted parties in the traffic and protect single version of the truth.

scholarly journals Between Real World and Thought Experiment: Framing Moral Decision-Making in Self-Driving Car Dilemmas

2020 ◽  
Author(s):  
Vanessa Schäffner
Keyword(s):  
Decision Making ◽  
Thought Experiment ◽  
Real Life ◽  
Moral Decision ◽  
Moral Decision Making ◽  
Business World ◽  
Autonomous Cars ◽  
On The Road ◽  
Self Driving Cars ◽  
Trolley Cases

AbstractHow should driverless vehicles respond to situations of unavoidable personal harm? This paper takes up the case of self-driving cars as a prominent example of algorithmic moral decision-making, an emergent type of morality that is evolving at a high pace in a digitised business world. As its main contribution, it juxtaposes dilemma decision situations relating to ethical crash algorithms for autonomous cars to two edge cases: the case of manually driven cars facing real-life, mundane accidents, on the one hand, and the dilemmatic situation in theoretically constructed trolley cases, on the other. The paper identifies analogies and disanalogies between the three cases with regard to decision makers, decision design, and decision outcomes. The findings are discussed from the angle of three perspectives: aspects where analogies could be found, those where the case of self-driving cars has turned out to lie in between both edge cases, and those where it entirely departs from either edge case. As a main result, the paper argues that manual driving as well as trolley cases are suitable points of reference for the issue of designing ethical crash algorithms only to a limited extent. Instead, a fundamental epistemic and conceptual divergence of dilemma decision situations in the context of self-driving cars and the used edge cases is substantiated. Finally, the areas of specific need for regulation on the road to introducing autonomous cars are pointed out and related thoughts are sketched through the lens of the humanistic paradigm.

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