| Paper Abstract and Keywords |
| Presentation |
2020-12-16 13:00
A study on hierarchical estimation of road narrowing conditions by piled snow in in-vehicle cameras
Kozo Okumura, Sho Takahashi, Toru Hagiwara (Hokkaido Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Snow fall regions are facing the challenges such as the aging and decrease in the number of the snow removal workers. Research on efficient collection of road conditions has been conducted and further improvement of road management is expected. Especially, the analysis of images obtained from in-vehicle cameras is expected to be a low-cost information collecting method. Therefore, by estimating the road narrowing conditions by piled snow using the images obtained from in-vehicle camera, the efficient of the snow removal is expected. In the proposed method, the images obtained from the in-vehicle camera are analyzed hierarchical two steps and classified into three classes of road narrowing conditions. In each step, the features that focus on the color and frequency of the image, and features that focus on road structures that are not affected by the lighting are calculated, respectively. In the last part of this paper, in order to verify the effectiveness of the proposed method, three experiments are conducted. The experimental results show the effectiveness of the proposed method. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
snow removal planning, / road maintenance / urban transportation / in-vehicle camera image / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 44, no. 34, ME2020-102, pp. 1-4, Dec. 2020. |
| Paper # |
ME2020-102 |
| Date of Issue |
2020-12-09 (ME) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
ME SIP |
| Conference Date |
2020-12-16 - 2020-12-16 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
ME |
| Conference Code |
2020-12-ME-SIP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A study on hierarchical estimation of road narrowing conditions by piled snow in in-vehicle cameras |
| Sub Title (in English) |
|
| Keyword(1) |
snow removal planning, |
| Keyword(2) |
road maintenance |
| Keyword(3) |
urban transportation |
| Keyword(4) |
in-vehicle camera image |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Kozo Okumura |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name |
Sho Takahashi |
| 2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name |
Toru Hagiwara |
| 3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2020-12-16 13:00:00 |
| Presentation Time |
30 minutes |
| Registration for |
ME |
| Paper # |
ME2020-102 |
| Volume (vol) |
vol.44 |
| Number (no) |
no.34 |
| Page |
pp.1-4 |
| #Pages |
4 |
| Date of Issue |
2020-12-09 (ME) |