"Road Condition Anomaly Detection using Self-Supervised Learning from Audio."

U-Ju Gim (2023)

> Home

Details and statistics

DOI: 10.1109/ITSC57777.2023.10421899

access: closed

type: Conference or Workshop Paper

metadata version: 2024-05-14

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/itsc/Gim23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/itsc/Gim23
U-Ju Gim:
Road Condition Anomaly Detection using Self-Supervised Learning from Audio. ITSC 2023: 675-680

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.