Scenario Optimisation and Sensitivity Analysis for Safe Automated Driving Using Gaussian Processes
Assuring the safety of automated vehicles is essential for their timely introduction and acceptance by policymakers and the public. To assess their safe design and robust decision making in response to all possible scenarios, new methods that use a scenario-based testing approach are needed, as test...
Main Authors: | Felix Batsch, Alireza Daneshkhah, Vasile Palade, Madeline Cheah |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/2/775 |
Similar Items
-
Automatic generation of critical driving scenarios
by: Alam, Mohammad Saquib
Published: (2020) -
A Scenario-Based Approach for Formal Modelling and Verification of Safety Properties in Automated Driving
by: Bingqing Xu, et al.
Published: (2019-01-01) -
Software Framework for Testing of Automated Driving Systems in the Traffic Environment of Vissim
by: Demin Nalic, et al.
Published: (2021-05-01) -
‘Plausible’ energy scenarios?! How users of scenarios assess uncertain futures
by: Ricarda Schmidt-Scheele
Published: (2020-11-01) -
Accounting for uncertainty and variation in accessibility metrics for public transport sketch planning
by: Matthew Wigginton Conway, et al.
Published: (2018-07-01)