DocumentCode
3520319
Title
Short term prediction of vehicle movements by neural networks
Author
Mitrovic, Dejan
Author_Institution
Canterbury Univ., Christchurch, New Zealand
fYear
1999
fDate
36495
Firstpage
187
Lastpage
190
Abstract
In this paper we suggest the use of place-based positioning and navigation techniques to provide support for navigation tasks which are not adequately supported by conventional car navigation systems. Although driving is a very complex process, there are many regularities which could be exploited by place-based navigation techniques. Neural networks are well known for their prediction capabilities and this paper explores the possibilities of short-term prediction of vehicle movements by various neural network architectures
Keywords
automated highways; computerised navigation; neural nets; position control; road vehicles; cars; driving; neural network architectures; place-based navigation techniques; place-based positioning techniques; short term vehicle movement prediction; Animals; Decision making; Humans; Intelligent sensors; Marine vehicles; Mobile robots; Navigation; Neural networks; Telecommunication traffic; Vehicle driving;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-5578-4
Type
conf
DOI
10.1109/KES.1999.820151
Filename
820151
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