• English
    • svenska
  • English 
    • English
    • svenska
  • Login
View Item 
  •   Home
  • Student essays / Studentuppsatser
  • Department of Computer Science and Engineering / Institutionen för data- och informationsteknik
  • Kandidatuppsatser
  • View Item
  •   Home
  • Student essays / Studentuppsatser
  • Department of Computer Science and Engineering / Institutionen för data- och informationsteknik
  • Kandidatuppsatser
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

An approach to automate accident scenario generation using recurrent neural networks

Abstract
There is a need to improve the test procedure of Active Safety Systems through the automation of scenario generation, especially accident scenarios that are critical for testing. The purpose of this thesis is to provide an approach to automate the test generation process using machine learning. We use a recurrent neural network, applied in other domains to related problems where temporal data needs to be modelled for the generation of accident scenarios. We build a dataset of accident scenarios that occur at an intersection in a road traffic simulator and use it to train our model. We deliver an approach by testing different model parameters and input features and show generated accident scenarios in comparison to ground truth scenarios. We evaluate the quality of our generated accident scenarios through a set of metrics which we introduce in the paper.
Degree
Student essay
URI
http://hdl.handle.net/2077/62617
Collections
  • Kandidatuppsatser
View/Open
CSE 17-40 Gee & Jenkins (2.357Mb)
Date
2019-11-26
Author
Gee, Ludvig Oliver
Jenkins, Ian Rhys
Keywords
Machine Learning
Recurrent Neural Networks
Active Safety Systems
Scenario Generation
Testing
Time Series Prediction
Language
eng
Metadata
Show full item record

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV