Presentation 2010-01-22
Similarity-Based Driving Behavior Retrieval Using Time-Series Active Search
Masashi NAITO, Akira OZAKI, Chiyomi MIYAJIMA, Takanori NISHINO, Norihide KITAOKA, Kazuya TAKEDA,
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Abstract(in English) With the increasing presence and recent advances of drive recorders, rich sensor data can be recorded and stored in real driving environments. However, few researches have been done for retrieving driving data from such a large amount of database. In this study, we develop a driving data browser with a similarity-based retrieval system based on a time-series active search. Experimental results show that more than 97% retrieval performance is achieved for the driving behaviors of left/right turns and curves.
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Keyword(in English) Time-Series Active Search / Similarity-Based Retrieval / Drive Recorder / Driving Data
Paper # CQ2009-88,PRMU2009-187,SP2009-128,MVE2009-110
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Conference Information
Committee CQ
Conference Date 2010/1/14(1days)
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Paper Information
Registration To Communication Quality (CQ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Similarity-Based Driving Behavior Retrieval Using Time-Series Active Search
Sub Title (in English)
Keyword(1) Time-Series Active Search
Keyword(2) Similarity-Based Retrieval
Keyword(3) Drive Recorder
Keyword(4) Driving Data
1st Author's Name Masashi NAITO
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Akira OZAKI
2nd Author's Affiliation Graduate School of Information Science, Nagoya University
3rd Author's Name Chiyomi MIYAJIMA
3rd Author's Affiliation Graduate School of Information Science, Nagoya University
4th Author's Name Takanori NISHINO
4th Author's Affiliation Eco Topia Science Institute, Nagoya University
5th Author's Name Norihide KITAOKA
5th Author's Affiliation Graduate School of Information Science, Nagoya University
6th Author's Name Kazuya TAKEDA
6th Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2010-01-22
Paper # CQ2009-88,PRMU2009-187,SP2009-128,MVE2009-110
Volume (vol) vol.109
Number (no) 373
Page pp.pp.-
#Pages 6
Date of Issue