Customer Preferences and Implicit Tradeoffs in Accident Scenarios for Self-Driving Vehicle Algorithms
The development of self-driving vehicles is proceeding rapidly and with significant investment of resources. However, a full-scale deployment is not imminent. Among the challenges self-driving vehicles are facing, they will have to navigate complex ethical challenges. The algorithms governing their...
Main Authors: | Carlo Pugnetti, Remo Schläpfer |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-06-01
|
Series: | Journal of Risk and Financial Management |
Subjects: | |
Online Access: | http://www.mdpi.com/1911-8074/11/2/28 |
Similar Items
-
Stress Testing Method for Scenario-Based Testing of Automated Driving Systems
by: Demin Nalic, et al.
Published: (2020-01-01) -
Adaptive Potential Field-Based Path Planning for Complex Autonomous Driving Scenarios
by: Bing Lu, et al.
Published: (2020-01-01) -
C-ITS Relevant Critical Vehicle-to-Vehicle Accident Scenarios for Accident Analysis
by: Bauder, M., et al.
Published: (2022) -
A Study on the Evaluation Method of Highway Driving Assist System Using Monocular Camera
by: Geon Hwan Bae, et al.
Published: (2020-09-01) -
Development case study of the first estonian self-driving car, iseauto
by: Rassõlkin Anton, et al.
Published: (2018-07-01)