193 Result(s)
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Chapter and Conference Paper
Autonomous Maneuver Strategy of UAV Wingman Air Combat Based on Hierarchical Reinforcement Learning
Unmanned aerial vehicles (UAVs) play an vital role in modern air combats, where manned fighter (leader) can better perform air combat with the assisting of UAVs. The key technology for cooperative air warfare ...
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Chapter and Conference Paper
Feature Implicit Enhancement via Super-Resolution for Small Object Detection
In recent years, object detection has made significant strides due to advancements in deep convolutional neural networks. However, the detection performance for small objects remains challenging. The visual in...
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Chapter and Conference Paper
Loosely-Coupled Camera-IMU-OGS Fusion Localization
In this paper, a hierarchical multi-sensor fusion approach is presented for localization in unmanned ground vehicle (UGV) applications where global navigation satellite system (GNSS) signals are not available....
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Chapter and Conference Paper
DiffMoCa: Diffusion Model Based Multi-modality Cut and Paste
The Multi-mOdality Cut and pAste (MoCa) method cuts data from other frames and pastes it onto the current training data frame to increase the number of training object samples. However, the samples used by MoC...
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Chapter and Conference Paper
Edge-Based Monocular Thermal Odometry in Low Illumination Environments
Achieving accurate motion estimation in low-illumination environments is challenging for traditional Visual Odometry (VO) that utilizes visible cameras. In contrast, long-wave infrared (LWIR) cameras can opera...
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Chapter and Conference Paper
Improved Faster R-CNN Detection Algorithm for Small Unmanned Aerial Vehicle Targets
The small size of Unmanned Aerial Vehicles (UAVs) targets make the detection model challenging to extract texture features, resulting in low detection accuracy when using deep learning methods. To address this...
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Chapter and Conference Paper
Self-calibrated Navigation System Based on Fusion of Distance Measurement and Visual Odometry
In this paper, a self-calibrated navigation system based on fusion of distance measurement and visual odometry (VO) is developed. The navigation system can locate the agent with low cumulative error in the GNS...
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Chapter and Conference Paper
Soft-Attention Mask Branch Network for Infrared Small Target Detection
Due to its insensitivity to environmental impact factors like heavy fog or cloud, the application of infrared small target detection technology is widespread in fields including remote sensing, drone vision sy...
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Chapter and Conference Paper
Astral Body: A Virtual Reality Game for Body Ownership Investigation
As one of the most disruptive human-computer interaction techniques, Virtual Reality (VR) provides a novel way to examine human movements, e.g. when investigating Body Ownership (BO) in the field of cognitive ...
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Chapter and Conference Paper
Efficient Trajectory Planning for Coordinated Arrival of Fixed-Wing UAV Swarm
This paper proposes an efficient centralized trajectory planning algorithm for fixed-wing swarms to address the problem of coordinated arrival. A Dubins-based initial path sampling method is designed in the fr...
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Chapter and Conference Paper
Correction to: College Students’ Perceptions and Preferences Regarding Intelligent Advisory Systems in Multi-device Learning Environments
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Chapter and Conference Paper
Multi-UAV Network Logistics Task Allocation Algorithm Based on Mean-Field-Type Game
Unmanned aerial vehicles (UAVs) has become the vital driving force of logistics distribution development as an important carrier of advanced productivity. However, it is challenging to efficiently allocate log...
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Chapter and Conference Paper
Effectively Filtering Images for Better Multi-modal Knowledge Graph
The existing multi-modal knowledge graph construction techniques have become mature for processing text modal data, but lack effective processing methods for other modal data such as visual modal data. Therefo...
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Chapter and Conference Paper
Divergence and Convergence in Tense and Aspect Meanings of “guo” and “le”
The paper discusses the divergence and convergence in aspect and tense meanings via semantic feature analysis. Arguably, the divergence of the experiential marker guo过 and the actualize marker le了 are embodied in...
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Chapter and Conference Paper
End-to-End Learning-Based Obstacle Avoidance for Fixed-Wing UAVs
In this paper, a deep reinforcement learning training framework based on attitude control is proposed for the obstacle avoidance problem of fixed-wing UAVs in 3D realistic scenes. The training framework includ...
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Chapter and Conference Paper
College Students’ Perceptions and Preferences Regarding Intelligent Advisory Systems in Multi-device Learning Environments
With the emergence of e-learning systems, learning activities are no longer limited to a single fixed user interface. Nevertheless, college students’ multi-device learning behaviors are poorly understood. In a...
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Chapter and Conference Paper
An Efficient Feature Selection Method for High Dimensional Data Based on Improved BOA in AIoT
Feature selection can eliminate irrelevant redundant information in high-dimensional data, reduce dimensions, improve classification performance, and relieve the computational burden of machine learning. In th...
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Chapter and Conference Paper
Grounded Theory-Driven Knowledge Production Features Mining: One Empirical Study Based on Big Data Technology
Grounded theory can help scholars solve complex management problems and build a link between practice and theory and has received much attention in recent years. This paper takes CNKI as primary data source, c...
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Chapter and Conference Paper
Research Hotspots and Evolution Trend of Virtual Power Plant in China: An Empirical Analysis Based on Big Data
[Objective] Due to the 14th Five-Year Plan and the “30·60” double carbon targets advocates energy reform, the number of articles on virtual power plant (Abbreviation is VPP) has surged, the annual number of artic...
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Chapter and Conference Paper
Autonomous Path Planning Method Based on Marine Environmental Information
When an unmanned underwater vehicle (UUV) is carrying out long-distance missions, due to its limited sensors, it is necessary to make full use of the marine environment information known from electronic charts...
