Paper Abstract and Keywords |
Presentation |
2022-02-22 14:40
A Study on Object Detection in Omnidirectional Images Using Deep Learning Yasuyuki Ishida, Toshio Ito (SIT) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
A minimum sensor configuration is desired for a popular automatic vehicle. In this study, an omnidirectional camera with a wide viewing angle is used for object detection to recognize the driving environment. Since an omnidirectional camera has a different appearance from that of a normal monocular camera, geometric transformation is used to perform deep learning. However, the image is segmented at both ends of the object. In this study, we consider the image to be repeated and set annotations to detect objects that are segmented. In addition, since both ends of the omnidirectional image are far away from each other, it is difficult to extract features only by convolutional neural network, so Self Attention is added to the backbone. The accuracy of the network with Self Attention was measured by mAP, and the maximum mAP of the network with Self Attention was 66.5%, which made it possible to detect segmented objects. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Deep Learning / Omnidirectional camera / Object detection / Road environmental recognition / / / / |
Reference Info. |
ITE Tech. Rep. |
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Conference Information |
Committee |
AIT ME MMS IEICE-IE IEICE-ITS |
Conference Date |
2022-02-21 - 2022-02-22 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
online |
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Paper Information |
Registration To |
IEICE-ITS |
Conference Code |
2022-02-IE-ITS-AIT-ME-MMS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
A Study on Object Detection in Omnidirectional Images Using Deep Learning |
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Deep Learning |
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Omnidirectional camera |
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Object detection |
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Road environmental recognition |
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1st Author's Name |
Yasuyuki Ishida |
1st Author's Affiliation |
Shibaura Institute of Technology (SIT) |
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Toshio Ito |
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Shibaura Institute of Technology (SIT) |
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Author-1 |
Date Time |
2022-02-22 14:40:00 |
Presentation Time |
15 minutes |
Registration for |
IEICE-ITS |
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Volume (vol) |
vol.46 |
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