Optimal Navigation of an Unmanned Surface Vehicle and an Autonomous Underwater Vehicle Collaborating for Reliable Acoustic Communication with Collision Avoidance

Savkin, Andrey V.; Verma, Satish Chandra; Anstee, Stuart

doi:10.3390/drones6010027

Cited by 9 publications

(4 citation statements)

References 40 publications

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“…Chen et al, 2022;J. Chen, Wang, Zhou, Ahmed, & Wei, 2021;Custers, 2016;Nouacer et al, 2020;Savkin, Verma, & Anstee, 2022). Dependability, security, safety, and the absence of guiding cables are just a few of the critical advantages of WCT The many technologies used for wireless communication in IoT devices have been covered by when selecting the most suitable IoT communication-based applications, authors considered the following 7 WCTs (Haider et al, 2022;Kamruzzaman, 2022;Nguyen, Masaracchia, Sharma, Poor, & Duong, 2022;Oberascher, Rauch, Sitzenfrei, & Society, 2022;C.…”

Section: Wireless Communication Technologiesmentioning

confidence: 99%

Internet of Things (IoT): Wireless Communications for Unmanned Aircraft System

VO,

WANG,

YANG

et al. 2023

EPSTEM

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In times of technological advancements, the use of aerial vehicles (UAVs), commonly known as drones, has become increasingly prevalent across various commercial and industrial sectors. UAVs find applications in agriculture, filmmaking, law enforcement, package delivery, aerial photography, videography, etc. There are benefits associated with utilizing UAVs. One key advantage is their ability to cover areas quickly and efficiently while accessing locations that may be challenging or hazardous for humans. Wireless communication technologies play a role in ensuring the functioning of Unmanned Aircraft Systems (UAS). Without these technologies, the United States of America would face difficulties communicating with ground control stations or relaying information to operators. This would significantly impede the country’s mission execution and overall responsibilities. Wireless communication technologies (WCT) enable the United States to maintain awareness—essential for achieving successful and secure operations. Additionally, wireless technologies allow for Unmanned Aerial Systems (UAS) control, which is crucial for missions carried out in hostile or dangerous environments. The increasing usage of drones has highlighted the need to improve networks in the United States focusing on their ability to work together effectively handle volumes of data and provide reliable broadband connectivity. This research delves into communication technologies, in this domain emphasizing their advantages, limitations, industry standards and potential areas for future investigation to address the challenges revealed by this study.

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Section: Wireless Communication Technologiesmentioning

confidence: 99%

Internet of Things (IoT): Wireless Communications for Unmanned Aircraft System

VO,

WANG,

YANG

et al. 2023

EPSTEM

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“…Vehicle Pre-Deployment Using GIS Identification of High-Accident Density Locations [4][5][6]. The general characteristics of the car fatal accidents and makes an attempt to establish the most common types of fatal accidents and the causal factors [7,8]. Development of Risk Models for the Road Assessment Programme .…”

Section: Introductionmentioning

confidence: 99%

Vehicle To Vehicle Communication and Accident Prevention

Suganyadevi,

R. S,

et al. 2023

Design, Construction, Maintenance

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V2V collisions are one of the most destructive events. Although there are many other causes of V2V accidents, driver neglects and excessive speed are the main culprits. Additionally, it appears that a lack of awareness makes it difficult to arrive at the scene of the collision in time. By reducing the frequency of accidents, the development of Internet of Things(IoT) technology Can aid in the solution of this issue. In this study, a smart system that warns users, control vehicle speed, and properly warns people in the event of accidents. This device continuously monitors the distance between oncoming cars and any obstruction by using distance sensor. It will alert the driver to restrict speed and will automatically slow down the when crucial distance is approaching. It is a system that can send a warning to the police stations and be capable of identifying accidents. RSU will be used to monitor and compare a vehicle’s speed. IOT-based vehicle safety Alert and Tracking System Research and Implementation When an accident occurs under unclear conditions, a notice alert with V2V information is delivered to the person responsible.

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“…In other words, USVs and UUVs acquire controlled and measured information over remote communication with each control center, and perform missions such as surface or underwater surveillance [1,2]. However, complementary cooperation between USVs and UUVs has recently been emphasized due to extensions of their range of operation [3]. In this complementary cooperation, the USV needs high performance (e.g., duration, velocity, payload, and navigation accuracy) compared to the UUV [4,5].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a UUV Tracking Algorithm for a USV

Kang

Kim

Kwon

et al. 2022

Drones

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In a departure from the past, unmanned underwater vehicles (UUVs) and unmanned surface vehicles (USVs) are increasingly needed for complementary cooperation in military, scientific, and commercial applications, because this is more efficient than standalone operations. Information sharing through acoustic underwater communication is vital for complementary cooperation between USVs and UUVs. Normally, since USVs have advantages in terms of wide operational boundaries compared to UUVs, they are efficient for tracking UUVs. In this paper, we suggest a UUV tracking algorithm for a USV. The tracking algorithm’s development consists of three main software models: an estimation based on an extended Kalman filter (EKF) with a navigation smoothing method, guidance based on multimode guidance, and re-searching based on a pattern. In addition, the algorithm provides a procedure for tracking UUVs in complex acoustic underwater communication environments. The tracking algorithm was tested in a simulated environment to check the performance of each method, and implemented with a USV system to verify its validity and stability in sea trials. The UUV tracking algorithm of the USV shows stable and efficient performance.

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Optimal Navigation of an Unmanned Surface Vehicle and an Autonomous Underwater Vehicle Collaborating for Reliable Acoustic Communication with Collision Avoidance

Cited by 9 publications

References 40 publications

Internet of Things (IoT): Wireless Communications for Unmanned Aircraft System

Internet of Things (IoT): Wireless Communications for Unmanned Aircraft System

Vehicle To Vehicle Communication and Accident Prevention

Design and Implementation of a UUV Tracking Algorithm for a USV

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