Data Matrix(DM)codes have been widely used in industrial *** reading of DM code usually includes positioning and *** positioning is a prerequisite for successful *** image processing methods have poor adaptability to ...
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Data Matrix(DM)codes have been widely used in industrial *** reading of DM code usually includes positioning and *** positioning is a prerequisite for successful *** image processing methods have poor adaptability to pollution and complex *** deep learning-based methods can automatically extract features,the bounding boxes cannot entirely fit the contour of the *** image processing methods are required for precise positioning,which will reduce *** of the above problems,a CenterNet-based DM code key point detection network is proposed,which can directly obtain the four key points of the DM *** with the existing methods,the degree of fitness is higher,which is conducive to direct *** further improve the positioning accuracy,an enhanced loss function is designed,including DM code key point heatmap loss,standard DM code projection loss,and polygon Intersection-over-Union(IoU)loss,which is beneficial for the network to learn the spatial geometric characteristics of DM *** experiment is carried out on the self-made DM code key point detection dataset,including pollution,complex background,small objects,etc.,which uses the Average Precision(AP)of the common object detection metric as the evaluation *** reaches 95.80%,and Frames Per Second(FPS)gets 88.12 on the test set of the proposed dataset,which can achieve real-time performance in practical applications.
Mamba - the selective SSM (S6) model, makes up for inherent shortcomings of Transformer in long sequence processing and has been gaining significant attention from researchers. In this paper, we employ Mamba to build ...
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A novel wavelength pooling technology and a flexible scheduling method based on optical layer OAM (O-OAM) are proposed. Costs of network construction and maintenance are reduced significantly, and service latency is r...
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A novel management and control architecture and abstract model of semi-active WDM system for 5G front-haul network are proposed. The functions of device information acquisition, alarm monitoring and fault location is ...
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Localization and Navigation technology of mobile robots is becoming increasingly important in production and manufacturing factory. It is necessary to ensure localization and docking accuracy at high accuracy points a...
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Energy is an important material that promotes social development and maintains human life. Clean energy has become a scientific research theme of open world which appeal to many scientists to research it. This paper i...
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Automobile is one of the important modes of transportation for human travel in today's society. Batch production in various countries in the world has also promoted the transformation of production concepts. At pr...
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Localization and mapping technology of mobile robots is important in production and warehousing. The changing warehousing environment always result in poor accuracy and robustness of the mobile robot's localizatio...
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A novel wavelength pooling technology and a flexible scheduling method based on optical layer OAM (O-OAM) are proposed. Costs of network construction and maintenance are reduced significantly, and service latency is r...
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ISBN:
(数字)9798350379266
ISBN:
(纸本)9798350379273
A novel wavelength pooling technology and a flexible scheduling method based on optical layer OAM (O-OAM) are proposed. Costs of network construction and maintenance are reduced significantly, and service latency is reduced by 17%.
Localization and Navigation technology of mobile robots is becoming increasingly important in production and manufacturing factory. It is necessary to ensure localization and docking accuracy at high accuracy points a...
Localization and Navigation technology of mobile robots is becoming increasingly important in production and manufacturing factory. It is necessary to ensure localization and docking accuracy at high accuracy points and routes. In this paper, we propose a high-accuracy localization method based on 2D laser, wheel odometry, and prior probability grid map. The algorithm can maintain the accuracy of robot trajectory estimation in an dynamic environment that changes over time. Two resolution prior probability grid maps are constructed to determine the initial pose of the mobile robot. A factor graph model is constructed, allowing multiple relative or absolute observations, to be added to the factor graph as factors. During localization, two local submaps are constructed in real time, and are jointly optimized with prior maps before being used to the local scan matching. The laser odometry is generated by using local submaps scan matching, and is added to the factor graph model along with the wheel odometry and prior map scan matching. At the same time, several artificial features are designed at high-accuracy docking target points, and ensure the final docking accuracy by identifying artificial features.
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