Application of convolution neural network object detection algorithm in logistics warehouse
نویسندگان
چکیده
منابع مشابه
Object Detection for Semantic SLAM using Convolution Neural Networks
Conventional SLAM (Simultaneous Localization and Mapping) systems typically provide odometry estimates and point-cloud reconstructions of an unknown environment. While these outputs can be used for tasks such as autonomous navigation, they lack any semantic information. Our project implements a modular object detection framework that can be used in conjunction with a SLAM engine to generate sem...
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Pulmonary cancer is the leading cause of cancer-related death worldwide, and early stage of pulmonary cancer detection using low-dose computed tomography (CT) could prevent millions of patients being killed every year. However, reading millions of those CT scans is an enormous burden for radiologists. Therefore, an immediate need is to read, detect and evaluation CT scans automatically and fast...
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Pulmonary cancer is the leading cause of cancer-related death worldwide, and early stage of pulmonary cancer detection using low-dose computed tomography (CT) could prevent millions of patients being killed every year. However, reading millions of those CT scans is an enormous burden for radiologists. Therefore, an immediate need is to read, detect and evaluation CT scans automatically and fast...
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Pulmonary cancer is the leading cause of cancer-related death worldwide, and early stage of pulmonary cancer detection using low-dose computed tomography (CT) could prevent millions of patients being killed every year. However, reading millions of those CT scans is an enormous burden for radiologists. Therefore, an immediate need is to read, detect and evaluation CT scans automatically and fast...
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ژورنال
عنوان ژورنال: The Journal of Engineering
سال: 2019
ISSN: 2051-3305,2051-3305
DOI: 10.1049/joe.2018.9180