检索结果-内蒙古大学图书馆

Joint visual coverage and Energy Consumption Optimization for UAV-Aided 5G-and-Beyond Communications

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2024年第12期73卷 19417-19431页

作者： Huang, Zhengrui Wang, Shujie Penn State Univ Dept Geog University Pk PA 16802 USA Earth & Environm Syst Inst EESI Dept Geog University Pk PA 16802 USA Penn State Univ Inst Computat & Data Sci ICDS University Pk PA 16802 USA

With the rapid advancement in cellular technologies, integrating unmanned aerial vehicles (UAVs) into 5G and beyond becomes a promising solution to enabling UAV-related services, which poses a pressing need for ubiquitous wireless coverage and effective onboard energy management. Joint optimization of coverage and energy, however, remains understudied, especially in the scenario of 5G and beyond, i.e., extended wireless coverage with limited onboard energy. In this article, we propose a novel approach to optimizing the configuration of a team of UAVs to cover an arbitrary 3-D surface, including their transmit power, 3-D locations, and number. Here, the discussed problem is formulated as a multiobjective optimization problem (MOP), whose goal is to simultaneously maximize visual coverage (VC) and minimize energy consumption (EC). To optimally solve this MOP, we analy-tically derive the closed-form expression of VC and maximize VC by jointly optimizing the transmit power and 3-D location of a UAV. The transmit power and 3-D location of a UAV are further updated by minimizing the EC arising from aerial movement and wireless transmission. Given the optimized VC and EC of an individual UAV, the optimal number of UAVs is obtained by finding the best tradeoff between minimum VC and total EC, subject to a given set of constraints on transmit power, signal-to-interference-plus-noise ratios, outage probabilities, sensing distances, and onb-oard energy. Simulation results validate the effectiveness of the proposed approach, revealing that energy efficiency (EE) remains high with an extended coverage area.

关键词： Autonomous aerial vehicles 5G mobile communication Optimization Internet of Things Interference Wireless communication Probability 5G and beyond energy consumption energy efficiency multiobjective optimization unmanned aerial vehicle visual coverage

来源：评论

学校读者我要写书评

暂无评论

Cooperative Motion Planning for Persistent 3D visual coverage With Multiple Quadrotor UAVs

引用

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 2024年第3期21卷 3374-3383页

作者： Wang, Hongpeng Song, Shangyuan Guo, Qianghui Xu, Dian Zhang, Xiaoyang Wang, Peizhao Nankai Univ Coll Artificial Intelligence Tianjin 300071 Peoples R China Nankai Univ Sch Math Sci LPMC Tianjin 300071 Peoples R China Nankai Univ Coll Elect Informat & Opt Engn Tianjin 300071 Peoples R China

In this paper, we address the multiple quadrotor UAVs trajectory planning optimization problem for large-scale, persistent, high-depth visual coverage tasks in three-dimensional (3-D) terrain environment. To minimize the overall energy expenditure of the UAVs for accomplishing a task, we set up an air-to-ground collaborative system which introduces base stations to hold and recharge UAVs. The system is formulated as an integer programming, and solved by a novel hierarchical reinforcement learning trajectory planning algorithm (RL-TP), in which the paths are obtained by reinforcement learning method, and then the trajectories are obtained by Bezier curve method. Both simulation and physical experiments show that RL-TP can effectively improve the efficiency and persistence of aerial visual coverage task. Note to Practitioners-While the multi-rotor UAV has been an important means for field monitoring, it suffers the problem of short battery life a lot. To make it more efficient and persistent, we use multiple UAVs and introduce ground base stations to charge the UAVs. The scenario is formulated as an air-to-ground collaborative system, and the motion planning strategy is to minimize the energy consumption. We propose a hierarchical collaborative coverage reinforcement learning trajectory planning algorithm (RL-TP) to solve it. We carry out both simulation and physical field experiments, and compare RL-TP with other popular methods. The experimental results show that the system is feasible and RL-TP performs well in both time efficiency and energy consumption. In future research, we will introduce unmanned ground vehicles to replace the stationary ground base stations to make the air-to-ground collaborative system more powerful and flexible.

关键词： UAV air-to-ground visual coverage motion planning reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Deployment Optimization of Spotlights for visual coverage in Pure Dark Indoor Scene

引用

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2023年第7期19卷 8518-8527页

作者： Chen, Xi Lei, Zike Yang, Yong Chai, Li Wuhan Univ Sci & Technol Engn Res Ctr Met Automat & Measurement Technol Wuhan 430081 Peoples R China Wuhan Univ Sci & Technol Sch Informat Sci & Engn Wuhan 430081 Hubei Peoples R China Zhejiang Univ Coll Control Sci & Engn Hangzhou 310027 Peoples R China

In this article, a deployment method of spotlights is studied for visual coverage task in pure dark indoor scene. To characterize the illumination performance of target in visual sensor, a criterion called illumination strength of spotlight with combining the diffuse reflection and specular reflection on the basis of distance/angle illumination attenuation of light source as well as shading is proposed. Then, an optimization problem is formulated for a number of spotlights with the aim of covering the target with a desired luminance value in camera network as uniformly as possible. An elimination genetic algorithm possessing faster convergence rate and better convergence performance than standard genetic algorithm is utilized to solve the optimization problem. Finally, numerical simulations and experiments are conducted to validate the proposed deployment method of multiple spotlights for visual coverage task in pure dark indoor scene.

关键词： Illumination sensors deployment visual coverage

来源：评论

学校读者我要写书评

暂无评论

View planning for visual detection coverage tasks of large airplane upper surface using UAVs

引用

Biomimetic Intelligence and Robotics 2025年

作者： Zhun Huang Chinese Flight Test Establishment Xian 710089 China

In order to enhance the efficiency of visual inspection and effectively carry out 3D visual coverage tasks, this paper focuses on the 3D view planning problem concerning the visual coverage of an airplane’s surface using unmanned aerial vehicles (UAV). Our objective is to attain a sufficiently high coverage rate with the least number of viewpoints. The contributions of this work are enumerated as follows. Firstly, the 3D model of the target aircraft is spatially extended in accordance with the depth range of the camera mounted on the drone, thereby confining the sampling range of 3D viewpoints. Next, a candidate set of viewpoints is generated through random sampling and the probabilistic potential field technique. Subsequently, we propose a novel hyper-heuristic algorithm. In this algorithm, a genetic algorithm serves as a high-level heuristic strategy, in tandem with multiple low-level heuristic operators devised for combinatorial optimization. This not only augments the capacity to seek the global optimal solution but also expedites the convergence rate, aiming to ascertain the optimal subset of viewpoints. Moreover, we devise a new fitness function for appraising candidate solution vectors in the set covering problem (SCP), strengthening the evolutionary guidance for genetic algorithms. Eventually, experimental findings on the simulated and real airplanes corroborate the efficacy of the proposed method, i.e., it markedly diminishes the requisite number of viewpoints and augments inspection efficiency.

关键词： Airplane surface inspection View planning visual coverage Combinatorial optimization Unmanned aerial vehicle

来源：评论

学校读者我要写书评

暂无评论

In-Vehicle Camera Sensing: Hardware, Urban Applications and Research Trends 22

In-Vehicle Camera Sensing: Hardware, Urban Applications and ...

引用

IEEE 22nd Mediterranean Electrotechnical Conference (MELECON)

作者： Carvalho, Sara B. Costa, Daniel G. Univ Porto Fac Engn Porto Portugal Univ Porto Fac Engn SYSTEC ARISE Porto Portugal

ISBN: (纸本)9798350387032;9798350387025

Nowadays, camera technology is a common reality in the automobile industry, enabling functionalities that enhance the safety of vehicles and the understanding of the surrounding urban landscape. Such cameras can be integrated in various ways and for diverse purposes, paving the way for impressive transformation in mobility services. This paper delves into the vast realm of in-vehicle camera technology, tracing its evolution until the supporting of advanced driver assistance systems and as sources of important visual data of cities. We will examine different applications, including the presence of dashcams and the empowerment of self-driving cars through visual processing, unveiling the indispensable role of in-vehicle cameras for the evolving smart urban scenarios.

关键词： Embedded cameras Self-Driving Cars visual sensing visual coverage

来源：评论

学校读者我要写书评

暂无评论

coverage optimization of camera network for continuous deformable object

引用

MECHATRONICS 2023年第1期95卷

作者： Li, Chang Chen, Xi Chai, Li Wuhan Univ Sci & Technol Sch Informat Sci & Engn Wuhan 430081 Hubei Peoples R China Zhejiang Univ Coll Control Sci & Engn State Key Lab Ind Control Technol Hangzhou 310027 Zhejiang Peoples R China

In this paper, a deformable object is considered for camera network deployment with the aim of visual coverage. The object contour is discretized into sampled points as meshes, and the deformation is represented by continuous trajectories for the sampled points. To reduce the computational complexity, some feature points are carefully selected to represent the continuous deformation process. The visual coverage for the deformable object is transferred to cover the specific feature points. In particular, the vertexes of a rectangle that encloses the entire deformation trajectory of every sampled point on the object contour are chosen as the feature points. An improved wolf pack algorithm is then proposed to solve the optimization problem. Finally, both simulation and experimental results are given to demonstrate the effectiveness of the proposed deployment method of camera network.

关键词： Camera network deployment visual coverage Deformable object Wolf pack algorithm

来源：评论

学校读者我要写书评

暂无评论

Placing and scheduling many depth sensors for wide coverage and efficient mapping in versatile legged robots

引用

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH 2020年第4期39卷 431-460页

作者： Brandao, Martim Figueiredo, Rui Takagi, Kazuki Bernardino, Alexandre Hashimoto, Kenji Takanishi, Atsuo Univ Oxford Oxford Robot Inst Oxford England Univ Lisbon Inst Super Tecn Lisbon Portugal Waseda Univ Tokyo Japan Meiji Univ Tokyo Japan

This article tackles the problem of designing 3D perception systems for robots with high visual requirements, such as versatile legged robots capable of different locomotion styles. In order to guarantee high visual coverage in varied conditions (e.g., biped walking, quadruped walking, ladder climbing), such robots need to be equipped with a large number of sensors, while at the same time managing the computational requirements that arise from such a system. We tackle this problem at both levels: sensor placement (how many sensors to install on the robot and where) and run-time acquisition scheduling under computational constraints (not all sensors can be acquired and processed at the same time). Our first contribution is a methodology for designing perception systems with a large number of depth sensors scattered throughout the links of a robot, using multi-objective optimization for optimal trade-offs between visual coverage and the number of sensors. We estimate the Pareto front of these objectives through evolutionary optimization, and implement a solution on a real legged robot. Our formulation includes constraints on task-specific coverage and design symmetry, which lead to reliable coverage and fast convergence of the optimization problem. Our second contribution is an algorithm for lowering the computational burden of mapping with such a high number of sensors, formulated as an information-maximization problem with several sampling techniques for speed. Our final system uses 20 depth sensors scattered throughout the robot, which can either be acquired simultaneously or optimally scheduled for low CPU usage while maximizing mapping quality. We show that, when compared with state-of-the-art robotic platforms, our system has higher coverage across a higher number of tasks, thus being suitable for challenging environments and versatile robots. We also demonstrate that our scheduling algorithm allows higher mapping performance to be obtained than with naive and s

关键词： Design optimization sensor placement visual coverage next-best view sensor scheduling 3D mapping

来源：评论

学校读者我要写书评

暂无评论

Picturing destruction at home and abroad: a comparative visual analysis of icons and news values during disaster

引用

MEDIA INTERNATIONAL AUSTRALIA 2021年第1期181卷 197-216页

作者： Thomson, Tj Queensland Univ Technol Kelvin Grove Qld Australia

This study uses news photographs and interviews with journalists to explore how Australia's unprecedented 2019-2020 bushfire season was depicted for Australian and non-Australian audiences in order to extend transnational understanding of iconicity's tenets and how news values vary across contexts. It does so first by examining the Sydney Morning Herald's coverage over 3 months and then by contrasting this with international coverage that began in early 2020 once the issue spilled onto the world stage. Australia's coverage focused intensely on human actors involved in the disaster while the vast numbers of affected animals were virtually absent. In contrast, international media visually depicted the disaster as an environmental and ecological issue with global consequences. The results suggest a need for a definition of iconicity that is inclusive to non-human actors and to inanimate forces that are personified. It also extends our cross-cultural understanding of the visual expression of news values.

关键词： Australian bushfires comparative media studies iconic imagery natural disaster coverage photojournalism press photography visual coverage visual journalism visual media visual news values

来源：评论

学校读者我要写书评

暂无评论

coverage Overlaps Reduction with Delaunay Triangulation for visual Sensor Networks

引用

JOURNAL OF INTERNET TECHNOLOGY 2019年第3期20卷 809-816页

作者： Zhang, Shun-Miao Huang, De-Gen Dalian Univ Technol Sch Comp Sci & Technol Dalian Peoples R China Fujian Univ Technol Fujian Prov Key Lab Big Data Min & Applicat Fuzhou Fujian Peoples R China Fujian Univ Technol Coll Informat Sci & Engn Fuzhou Fujian Peoples R China

A visual sensor network (VSN) employs visual (camera) sensors instead of scalar sensors to establish the wireless network for wide area monitoring and target tracking. The visual sensing coverage of a VSN is quite related to the sensing direction and sensing angle of each camera sensors in the network. Many research issues of VSNs are similar but much different from the ones of ordinary scalar sensor networks, and the visual coverage issue is more specific. In the past years, a great number of research literatures have been proposed to address the coverage issues for ordinary scalar sensor networks. A part of the existing approaches use geometric structure concepts in the researches. However, utilizing geometric structures to solve visual sensing coverage has not drawn much attention of researches. This study, therefore, utilizes a geometric structure of Delaunay Triangulation with its characteristics to improve overall visual coverage of a sensing field for VSNs. The results of evaluation with simulations show the proposed approach performs very well and obtains a significant visual coverage improvement for VSNs. This could be a reference basis for further studies.

关键词： visual sensor network visual coverage Delaunay triangulation Geometry

来源：评论

学校读者我要写书评

暂无评论

Availability Issues for Relevant Area coverage in Wireless visual Sensor Networks

Availability Issues for Relevant Area Coverage in Wireless V...

引用

CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

作者： Costa, Daniel G. Duran-Faundez, Cristian Bittencourt, Joao Carlos N. State Univ Feira de Santana DTEC UEFS Feira De Santana Brazil Univ Bio Bio DIEE UBB Concepcion Chile Univ Fed Reconcavo Bahia CETS UFRB Cruz Das Almas Brazil

ISBN: (纸本)9781538631232

Camera-enabled sensors deployed for visual monitoring will cover a region of the target field, providing information for many innovative applications based on wireless sensing. Actually, some areas of the monitored field may have more relevance than others, according to the characteristics of the applications, which may indicate that such areas need better coverage to avoid blind spots and achieve higher visual redundancy. In order to provide a metric to assess how well relevant areas are being covered, this paper proposes an availability metric which associates coverage to the relevance of areas, which may be useful when assessing monitoring availability. Moreover, a greedy algorithm is also proposed to compute sensing orientations for all visual sensors, aiming at the enhancement of visual coverage over the most relevant areas. With such proposals, it is possible to initially address the particular problem of visual coverage over areas with different relevances, providing practical mechanisms to improve the overall availability level of monitoring applications in wireless visual sensor networks.

关键词： Availability Wireless visual Sensor Networks visual coverage Camera Optimization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：