Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Safety of Machine Learning Systems in Autonomous Driving
KTH, School of Industrial Engineering and Management (ITM).
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2017.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-218020OAI: oai:DiVA.org:kth-218020DiVA, id: diva2:1158738
Supervisors
Examiners
Available from: 2017-11-21 Created: 2017-11-21 Last updated: 2017-11-21Bibliographically approved

Open Access in DiVA

fulltext(2442 kB)540 downloads
File information
File name FULLTEXT01.pdfFile size 2442 kBChecksum SHA-512
13b3632e3ee798deba50eb93a8a396b4e757728c44afa7b46e9bc756fc0f419aca43f6192432bebe151c91a87802fd17fb5acd7cc7b44ff13fbb67c73b8dd781
Type fulltextMimetype application/pdf

By organisation
School of Industrial Engineering and Management (ITM)
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 540 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 2571 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf