Presentation | 2021-03-05 An approach for predicting traffic accidents at intersections with 360 degree panorama images Daiki Tanaka, Kiyoharu Aizawa, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this study, we used deep learning to predict traffic accidents. Traffic accidents are caused by a complex combination of various factors, and it is physically difficult to collect detailed data for each location. We investigated a new problem setting of determining whether a traffic accident occurs in the future using only a single 360 degree image of each location. Experimental results demonstrate that a deep neural network can predict traffic accident locations with an accuracy of more than 78%. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | 360 degree panorama images / Deep learning / Traffic accident prediction |
Paper # | PRMU2020-97 |
Date of Issue | 2021-02-25 (PRMU) |
Conference Information | |
Committee | PRMU / IPSJ-CVIM |
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Conference Date | 2021/3/4(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Computer Vision and Pattern Recognition for specific environment |
Chair | Yoichi Sato(Univ. of Tokyo) |
Vice Chair | Akisato Kimura(NTT) / Masakazu Iwamura(Osaka Pref. Univ.) |
Secretary | Akisato Kimura(Mobility Technologies) / Masakazu Iwamura(Chubu Univ.) |
Assistant | Takashi Shibata(NTT) / Masashi Nishiyama(Tottori Univ.) |
Paper Information | |
Registration To | Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An approach for predicting traffic accidents at intersections with 360 degree panorama images |
Sub Title (in English) | |
Keyword(1) | 360 degree panorama images |
Keyword(2) | Deep learning |
Keyword(3) | Traffic accident prediction |
1st Author's Name | Daiki Tanaka |
1st Author's Affiliation | The University of Tokyo(The Univ. of Tokyo) |
2nd Author's Name | Kiyoharu Aizawa |
2nd Author's Affiliation | The University of Tokyo(The Univ. of Tokyo) |
Date | 2021-03-05 |
Paper # | PRMU2020-97 |
Volume (vol) | vol.120 |
Number (no) | PRMU-409 |
Page | pp.pp.158-163(PRMU), |
#Pages | 6 |
Date of Issue | 2021-02-25 (PRMU) |