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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 / / / /  
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Conference Information
Committee AIT ME MMS IEICE-IE IEICE-ITS  
Conference Date 2022-02-21 - 2022-02-22 
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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) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Object Detection in Omnidirectional Images Using Deep Learning 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Omnidirectional camera  
Keyword(3) Object detection  
Keyword(4) Road environmental recognition  
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1st Author's Name Yasuyuki Ishida  
1st Author's Affiliation Shibaura Institute of Technology (SIT)
2nd Author's Name Toshio Ito  
2nd Author's Affiliation Shibaura Institute of Technology (SIT)
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Speaker 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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