Presentation 2004/6/18
State estimation based on a Monte Carlo filter and its application to understanding of the environment surrounding driving vehicles
Kazuhiko KAWAMOTO, Youichi NATORI, Hiroshi TAKAHASHI, Kaoru HIROTA,
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Abstract(in English) An assistant system for safe driving of intelligent transport systems is proposed. The system consists of three parts: Monte Carlo filter based visual tracking for estimating vehicle behaviors, fuzzy inference for determining a dangerous degree of the vehicle, and generation of virtual top views from a monocular on-vehicle camera for presenting the vehicle behavior and the dangerous degree. An experiment with a real image sequence from an on-vehicle camera is conducted to show the performance in the scene where a vehicle is entering the driving lane in an urban area.
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Keyword(in English) Monte Carlo filter / intelligent transport systems / assistance for safe driving / visual tracking / fuzzy inference
Paper # SIS2004-8
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Committee SIS
Conference Date 2004/6/18(1days)
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Language JPN
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Title (in English) State estimation based on a Monte Carlo filter and its application to understanding of the environment surrounding driving vehicles
Sub Title (in English)
Keyword(1) Monte Carlo filter
Keyword(2) intelligent transport systems
Keyword(3) assistance for safe driving
Keyword(4) visual tracking
Keyword(5) fuzzy inference
1st Author's Name Kazuhiko KAWAMOTO
1st Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology()
2nd Author's Name Youichi NATORI
2nd Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
3rd Author's Name Hiroshi TAKAHASHI
3rd Author's Affiliation Nissan Research Center, Nissan Motor Co., Ltd.
4th Author's Name Kaoru HIROTA
4th Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
Date 2004/6/18
Paper # SIS2004-8
Volume (vol) vol.104
Number (no) 144
Page pp.pp.-
#Pages 8
Date of Issue