Presentation | 2010-09-10 A method for the estimation of traffic sign visibility based on the integration of multiple image features : Application to in-vehicle camera images and its evaluation Keisuke DOMAN, Daisuke DEGUCHI, Tomokazu TAKAHASHI, Yoshito MEKADA, Ichiro IDE, Hiroshi MURASE, Yukimasa TAMATSU, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In recent years, the number of driving safety support systems in a car has been increasing. However, too much information provided from the systems may cause driver distraction. One of the approaches to avoid such a problem is to alert the driver only with the information on objects that are easily-missed, or in low-visibility and important. In order to detect the low-visibility of a traffic sign, we have proposed a method that estimates traffic sign visibility focusing on the contrasts of image features between a traffic sign and its surrounding region. However, only the simulation evaluations with artificial traffic sign images has done. In this paper, we investigate the performance of the proposed method in realistic environments and show its effectiveness. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Visibility estimation / Traffic sign / In-vehicle camera / Image feature / Driver distraction / ITS |
Paper # | ITS2010-16 |
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Conference Information | |
Committee | ITS |
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Conference Date | 2010/9/3(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Intelligent Transport Systems Technology (ITS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A method for the estimation of traffic sign visibility based on the integration of multiple image features : Application to in-vehicle camera images and its evaluation |
Sub Title (in English) | |
Keyword(1) | Visibility estimation |
Keyword(2) | Traffic sign |
Keyword(3) | In-vehicle camera |
Keyword(4) | Image feature |
Keyword(5) | Driver distraction |
Keyword(6) | ITS |
1st Author's Name | Keisuke DOMAN |
1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
2nd Author's Name | Daisuke DEGUCHI |
2nd Author's Affiliation | Graduate School of Information Science, Nagoya University |
3rd Author's Name | Tomokazu TAKAHASHI |
3rd Author's Affiliation | Faculty of Economics and Information, Gifu Shotoku Gakuen University:Graduate School of Information Science, Nagoya University |
4th Author's Name | Yoshito MEKADA |
4th Author's Affiliation | School of Information Science &, Technology, Chukyo University |
5th Author's Name | Ichiro IDE |
5th Author's Affiliation | Graduate School of Information Science, Nagoya University |
6th Author's Name | Hiroshi MURASE |
6th Author's Affiliation | Graduate School of Information Science, Nagoya University |
7th Author's Name | Yukimasa TAMATSU |
7th Author's Affiliation | DENSO CORPORATION |
Date | 2010-09-10 |
Paper # | ITS2010-16 |
Volume (vol) | vol.110 |
Number (no) | 201 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |