Curvilinear-Coordinate-Based Object and Situation Assessment for Highly Automated Vehicles

2015 ◽  
Vol 16 (3) ◽  
pp. 1559-1575 ◽  
Author(s):  
Junsoo Kim ◽  
Kichun Jo ◽  
Wontaek Lim ◽  
Minchul Lee ◽  
Myoungho Sunwoo
Keyword(s):  
Automated Vehicles ◽  
Situation Assessment ◽  
Curvilinear Coordinate

A Research Approach to Shared Mental Models and Situation Assessment in Future Robot Teams

2011 ◽  
Author(s):  
David Schuster ◽  
Scott Ososky ◽  
Florian Jentsch ◽  
Elizabeth Phillips ◽  
Christian Lebiere ◽  
...  
Keyword(s):  
Mental Models ◽  
Shared Mental Models ◽  
Research Approach ◽  
Situation Assessment ◽  
Robot Teams

Automated Vehicles Questionnaire

2018 ◽  
Author(s):  
Timo Liljamo ◽  
Heikki Liimatainen ◽  
Markus Pöllänen
Keyword(s):  
Automated Vehicles

Tiger: real-time situation assessment of dynamic systems

1994 ◽  
Vol 3 (3) ◽  
pp. 103 ◽  
Author(s):  
R. Milne ◽  
C. Nicol ◽  
M. Ghallab ◽  
L. Travé-Massuyès ◽  
K. Bousson ◽  
...  
Keyword(s):  
Real Time ◽  
Dynamic Systems ◽  
Situation Assessment

The Arrival of Automated Vehicles and Changes in Civil Liability

2017 ◽  
Vol 86 ◽  
pp. 361-411
Author(s):  
Jewoo Lee ◽  
Soon-Koo MYOUNG
Keyword(s):  
Civil Liability ◽  
Automated Vehicles

Ethics of Artificial Intelligence in Transport

2020 ◽  
pp. 667-683
Author(s):  
Bryant Walker Smith
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Ethical Question ◽  
Power Dynamics ◽  
Automated Vehicles ◽  
Automated Driving ◽  
The U.S ◽  
Policy Solutions

This chapter highlights key ethical issues in the use of artificial intelligence in transport by using automated driving as an example. These issues include the tension between technological solutions and policy solutions; the consequences of safety expectations; the complex choice between human authority and computer authority; and power dynamics among individuals, governments, and companies. In 2017 and 2018, the U.S. Congress considered automated driving legislation that was generally supported by many of the larger automated-driving developers. However, this automated-driving legislation failed to pass because of a lack of trust in technologies and institutions. Trustworthiness is much more of an ethical question. Automated vehicles will not be driven by individuals or even by computers; they will be driven by companies acting through their human and machine agents. An essential issue for this field—and for artificial intelligence generally—is how the companies that develop and deploy these technologies should earn people’s trust.

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