A Dual-Frequency Data-Driven Coverage Path Planning Algorithm for Unknown Large-Scale Marine Area

Kong, Xiangrui; Tan, Shun; Shen, Yue; Wang, Dianrui; Liu, Fengxu

doi:10.1109/ut.2019.8734333

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…Information sharing consistently suffers high delays in the hostile underwater communication environment. 89,90 This makes it hard to establish time-sensitive cooperation between AUVs while they are drifting in ocean currents. 91 The irregularity in the seafloor topography as well as unpredictable movement of obstacles results in variations of the task execution abilities of the AUVs.…”

Section: Time Latencymentioning

confidence: 99%

“…However, the authors of Reference 62 point out that there are few challenges when it comes to putting this into practice regarding meeting latency requirements and thus making sure that QoS requirements are met. Information sharing consistently suffers high delays in the hostile underwater communication environment 89,90 . This makes it hard to establish time‐sensitive cooperation between AUVs while they are drifting in ocean currents 91 .…”

Section: Qos In 6g Wireless Networkmentioning

confidence: 99%

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Challenges in meeting QoS requirements toward 6G wireless networks: A state of the art survey

Ahmed

Mahmood

Matin

2022

Trans Emerging Tel Tech

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The 6G wireless network with its superior capabilities must be considered to accommodate the much more stringent quality of service (QoS) requirements of the numerous emerging applications and services in the future. Attempting to adhere these constraints raise various challenges that are required to be addressed and solved in order to realize the vision of a fully intelligent and automated future society. This article provides the key enabling technologies and future applications for 6G networks followed by a discussion on QoS. It also presents a state-of-the-art survey on the challenges faced while trying to meet the QoS requirements regarding the time latency, throughput, connectivity, packet loss, and bandwidth, together with possible solutions to handle various constraints. A discussion on user satisfaction estimation from QoS analysis is also included. Finally, the article concludes with future research opportunities in meeting the QoS constraints of the 6G network.

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Section: Time Latencymentioning

confidence: 99%

Section: Qos In 6g Wireless Networkmentioning

confidence: 99%

Challenges in meeting QoS requirements toward 6G wireless networks: A state of the art survey

Ahmed

Mahmood

Matin

2022

Trans Emerging Tel Tech

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“…Such a system can be used to recover data from a single perspective scan obtained by a depth sensor. With the development of underwater researches, [18][19][20] a similar system can be expected to process pictures taken by underwater depth sensors like sonar. There also have been some works on modeling 3D shape data based on energy-based models like 3D Descriptor Net, 21 which presents a novel framework for probabilistic modeling of volumetric shape patterns by combining the merits of the energy-based model and volumetric convolutional neural network.…”

mentioning

confidence: 99%

Learning spectral normalized adversarial systems with stacked structure for high‐quality 3D object generation

Zhang

Qiu

Wang

et al. 2019

Concurrency and Computation

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Summary This paper proposes a new method for generating 3D objects based on generative adversarial networks (GANs). Recently, GANs have been used in 3D object generation, but it is still very challenging to generate high‐quality 3D objects because of the complex data distribution over 3D objects. In this paper, we propose a system based on GAN that makes the generated objects more realistic. We use multiple generators and discriminators to enhance the ability of the model for learning complex distributions. Such a stacked structure can be considered as a coarse‐to‐fine or low‐to‐high–resolution mechanism. We employ the spectral normalization technology to control the Lipschitz constant of the discriminators by literally constraining the spectral norm of each layer to get a more stable training process. In this way, the proposed model can generate realistic and high‐quality 3D objects. Moreover, our system can also recover incomplete 3D objects into complete 3D objects. Experiments demonstrate that our model performs better in the quality of the generated objects than the baselines.

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AUV-Assisted Subsea Exploration Method in 6G Enabled Deep Ocean Based on a Cooperative Pac-Men Mechanism

Zhang

Han

Sha

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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A Dual-Frequency Data-Driven Coverage Path Planning Algorithm for Unknown Large-Scale Marine Area

Cited by 3 publications

References 10 publications

Challenges in meeting QoS requirements toward 6G wireless networks: A state of the art survey

Challenges in meeting QoS requirements toward 6G wireless networks: A state of the art survey

Learning spectral normalized adversarial systems with stacked structure for high‐quality 3D object generation

AUV-Assisted Subsea Exploration Method in 6G Enabled Deep Ocean Based on a Cooperative Pac-Men Mechanism

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