Design and Analysis of Collaborative Unmanned Surface-Aerial Vehicle Cruise Systems

Abstract

With the increasing application of unmanned surface vehicle-unmanned aerial vehicles (USV-UAVs) in maritime supervision, research on their deployment and control is becoming vitally important. We investigate the application of USV-UAVs for synergistic cruising and evaluate the effectiveness of the proposed collaborative model. First, we build a collaborative model consisting of the cruise vehicles and communication, detection, and command-and-control networks for the USV-UAV. Second, based on an analysis of the problems faced by collaborative USV-UAV systems, we establish a model to evaluate the effectiveness of such synergistic cruises. Third, we propose a weighting method for each evaluation factor. Finally, a model consisting of one UAV and four USVs is employed to validate our synergistic cruise model.

Managing the drone revolution: A systematic literature review into the current use of airborne drones and future strategic directions for their effective control

“…Though to implement some of these preventative technologies, it is, of course, necessary that the relevant drones have navigation technologies installed to be acted upon by the countermeasures, which for a substantial number of retail drones is not the case. For those that do have navigation technology, research efforts are quite extensive into developing algorithms and programs to facilitate orderly inter-drone coordination like network registration processes ( Agron et al, 2019 ) incorporating obstacle detection, ( Zheng et al, 2016 ; Zhu et al, 2017 ; Choutri et al, 2019 ; Abdullah et al, 2019 ), separation processes and collision avoidance ( Tan et al, 2017 ; Nysetvold and Salmon, 2019 ) the impact of weather on drone performance ( Vural et al, 2019 ), completion of common tasks ( Zhuravska et al, 2018 ; Abraham et al, 2019 ; Fesenko et al, 2019 ; Zhu and Wen, 2019 ), inter-drone information security ( Abughalwa and Hasna, 2019 ) and operation in GPS poor areas ( Siva and Poellabauer, 2019 ), though many of these are conceptual and theoretical deployment (e.g. Kim and Kang, 2019 ).…”

A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management

“…USVs can get up close to objects or targets to quickly close to gather high-resolution images. It is also fast-moving, can cover large accurate sensors, and execute run-time missions [66]. However, the autonomy level of USVs is still limited when being deployed to conduct multiple tasks simultaneously [67].…”

Geometric-Manifold-Assisted Distributed Navigation Probabilistic Information Fusion Cooperative Positioning Algorithm

“…Among them, the variance of the positioning error of any five nodes is 1 m, that of other nodes is 6 m, and the variance of the ranging error between cooperative nodes is 3 m, after T = 100 Monte Carlo simulations. To compare with the performance of the existing cooperative positioning algorithm, the IG-CP algorithm proposed in this paper is compared with the SDP algorithm proposed in [6], the Taylor-DP algorithm proposed in [8], and the FGCP proposed in [9]. The simulation results are shown in Figure 10.…”

“…It is very important to study the stability of cooperative positioning accuracy. The cooperative position system has received much attention from the research community and has wide applications, such as regional unmanned driving and an unmanned distribution network for urban forests [8][9][10]. Unmanned aerial vehicles (UAVs) need the support of high-stability positioning in the above scenarios; fortunately, the cooperative positioning system has many advantages in improving the stability of positioning accuracy.…”