An effective battery equalizer is of great significance to eliminate the inconsistencies and improve the performance of battery packs. Nevertheless, the existing balancing circuits have various problems such as slow b...
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Dear Editor,This letter is concerned with visual perception closely related to heterogeneous *** the huge challenge brought by different image modalities,we propose a visual perception framework based on heterogeneous...
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Dear Editor,This letter is concerned with visual perception closely related to heterogeneous *** the huge challenge brought by different image modalities,we propose a visual perception framework based on heterogeneous image knowledge,i.e.,the domain knowledge associated with specific vision tasks,to better address the corresponding visual perception problems.
Lithium-ion power batteries are favored for their light mass, high energy density and low pollution, but repeated thermal runaway accidents have prevented the large-scale use of lithium-ion power batteries. The therma...
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This paper presents a multi-objective optimized charging strategy based on an electro-thermal coupling model. The charging current affects charging time, charging capacity and temperature rise and needs to be well bal...
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In this paper, a fixed-time sliding control method is proposed for a class of nonlinear systems with unknown external perturbations to improve the disturbance rejection ability and achieve fixed-time convergence. An a...
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Autonomous driving systems (ADS) offer efficient solutions for transportation, but their visual perception capabilities are significantly affected under adverse weather conditions such as rain and fog, posing a threat...
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With the increasing complexity of UAV missions, path planning, as a key issue, is receiving more and more attention. Currently, most of the literatures related to this problem are concerned about off-line path plannin...
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Recent deep learning medical image registration (DLMIR) methods based on static convolutional neural network (CNN) have achieved advanced registration performance with feature representation and learning ability of CN...
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To improve the accuracy and robustness of indoor positioning of robots and avoid the use of high-cost sensors such as LiDAR and high-precision Inertial Measurement Unit (IMU), a positioning method using an ArUco marke...
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Using an Iterated Dilated Convolutional Neural Network (IDCNN) in Chinese Named Entity Recognition (NER) helps capture local information. However, the contribution of information from different positions in a sentence...
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