U&I aware: a framework using data mining and collision detection to increase awareness for intersection users

Salim, Flora Dilys, Loke, Seng Wai, Rakotonirainy, Andry and Krishnaswamy, Shonali 2007, U&I aware: a framework using data mining and collision detection to increase awareness for intersection users, in AINAW'07 : Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops/Symposia, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 1-5, doi: 10.1109/AINAW.2007.360.

Attached Files
Name Description MIMEType Size Downloads

Title U&I aware: a framework using data mining and collision detection to increase awareness for intersection users
Author(s) Salim, Flora Dilys
Loke, Seng WaiORCID iD for Loke, Seng Wai orcid.org/0000-0001-9568-5230
Rakotonirainy, Andry
Krishnaswamy, Shonali
Conference name IEEE Computer Society. Conference (21st : 2007 : Ontario, Canada)
Conference location Ontario, Canada
Conference dates 2007/05/21 - 2007/05/23
Title of proceedings AINAW'07 : Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops/Symposia
Editor(s) [Unknown]
Publication date 2007
Series IEEE Computer Society Conference
Start page 1
End page 5
Total pages 5
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) data mining
collision avoidance
road accidents
robotics and automation
road safety
alarm systems
robot sensing systems
vehicles
cooperative systems
transportation
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science, Theory & Methods
Telecommunications
Computer Science
ISBN 0769528473
9780769528472
Language eng
DOI 10.1109/AINAW.2007.360
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30126135

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 4 times in TR Web of Science
Scopus Citation Count Cited 10 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 30 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 15 Jul 2019, 14:29:33 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.