| Presentation | 2015-03-20 A study on the prediction of driver's pedestrian detectability considering characteristics of human fields-of-view while driving Ryunosuke TANISHIGE, Keisuke DOMAN, Daisuke DEGUCHI, Yoshito MEKADA, Ichiro IDE, Hiroshi MURASE, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, advances in pedestrian detection technology have resulted in the development of driving assistance systems that notify the drivers of the presence of pedestrians. However, warning of all existing pedestrians would interfere with the driver's concentration. Therefore, it is necessary to develop a method to predict the detectability of a pedestrian by the driver. This report proposes a method that predicts the pedestrian detectability considering the characteristics of human fields-of-view. In order to predict the pedestrian detectability precisely, the proposed method constructs a predictor specific to each fields-of-view. Comparison between the output of the proposed method and the ground-truth of pedestrian detectability showed that the proposed method significantly reduced the prediction error in comparison with the existing methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | ITS / driver assistance / pedestrian / detectability / fields-of-view |
| Paper # | BioX2014-76,PRMU2014-196 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2015/3/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study on the prediction of driver's pedestrian detectability considering characteristics of human fields-of-view while driving |
| Sub Title (in English) | |
| Keyword(1) | ITS |
| Keyword(2) | driver assistance |
| Keyword(3) | pedestrian |
| Keyword(4) | detectability |
| Keyword(5) | fields-of-view |
| 1st Author's Name | Ryunosuke TANISHIGE |
| 1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
| 2nd Author's Name | Keisuke DOMAN |
| 2nd Author's Affiliation | Faculty of Engineering, Chukyo University |
| 3rd Author's Name | Daisuke DEGUCHI |
| 3rd Author's Affiliation | Information and Communications Headquarters, Nagoya University |
| 4th Author's Name | Yoshito MEKADA |
| 4th Author's Affiliation | Faculty of Engineering, 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 |
| Date | 2015-03-20 |
| Paper # | BioX2014-76,PRMU2014-196 |
| Volume (vol) | vol.114 |
| Number (no) | 521 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |