Output details
11 - Computer Science and Informatics
Imperial College London
Article title
Online Driver Distraction Detection Using Long Short-Term Memory
Type
D - Journal article
Title of journal
IEEE Transactions on Intelligent Transportation Systems
Article number
-
Volume number
12
Issue number
2
First page of article
574
ISSN of journal
1524-9050
Year of publication
2011
URL
-
Number of additional authors
6
Additional information
<24>This results from a cooperation with AUDI and shows for the first time how driver attention can be recognised from CAN-Bus data (steering behaviour) and a camera in the car for increased safety. As a milestone, the database was recorded in real car-driving. Our openSMILE awarded feature extractor (published at the top-tier ACM Multimedia conference in 2010) brute-forces features fed into a memory enhanced learner. My PhD student (M.W.) was hired by BMW later based on this article - both (AUDI/BMW) continue research in this direction.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
A - Logic and Artificial Intelligence
Citation count
14
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
