Distributed coverage optimisation for a fleet of unmanned maritime systems

<p>Unmanned maritime systems (UMS) can provide important benefits for maritime law enforcement agencies for tasks such as area surveillance and patrolling, especially when they are able to work together as one coordinated system. In this context, this paper proposes a methodology that optimises the coverage of a fleet of UMS, thereby maximising the opportunities for identifying threats. Unlike traditional approaches to maritime coverage optimisation, which are also used, for example, in search and rescue operations when searching for victims at sea, this approach takes into consideration the limited seaworthiness of small UMS, compared with traditional large ships, by incorporating the danger level into the design of the optimiser.</p>

Change Detection For Area Surveillance Using A Moving Camera

This paper tackles change detection for area surveillance with a moving device. None of the existing datasets for change detection meets a surveillance scenario where a camera is mounted on a moving platform and pointed in the direction of moving. Thus, this paper creates a new dataset including several challenging points. For this dataset, this paper employs a composable method and proposes some components. To evaluate the proposed components, some corresponding classic methods were also tested on the dataset. As a result, the proposals outperformed them. Moreover, this paper investigated the relationship between the parameters of the components and their performance.

Method of Constructing a Line Secretive Exit the Aircraft at a Given Point of the Detection Area Surveillance Radar Based on the Spectrum Analysis of the Doppler Frequency of the Received Signal

The article noted the contradictions in the theory and practice of the subject area of the study confirming the urgency of the task of constructing the trajectory of a hidden exit the aircraft at a given point of the detection area surveillance radar based on the spectrum analysis of the Doppler frequency of the received signal, the proposed initial data (initial conditions), describes the scientific and methodological apparatus of the embodiment of the method for generating control signals to implement the synthesized method, which allows to increase the effectiveness of air and space attack

Distributed 3-D Path Planning for Multi-UAVs with Full Area Surveillance Based on Particle Swarm Optimization

Collision-free distributed path planning for the swarm of unmanned aerial vehicles (UAVs) in a stochastic and dynamic environment is an emerging and challenging subject for research in the field of a communication system. Monitoring the methods and approaches for multi-UAVs with full area surveillance is needed in both military and civilian applications, in order to protect human beings and infrastructure, as well as their social security. To perform the path planning for multiple unmanned aerial vehicles, we propose a trajectory planner based on Particle Swarm Optimization (PSO) algorithm to derive a distributed full coverage optimal path planning, and a trajectory planner is developed using a dynamic fitness function. In this paper, to obtain dynamic fitness, we implemented the PSO algorithm independently in each UAV, by maximizing the fitness function and minimizing the cost function. Simulation results show that the proposed distributed path planning algorithm generates feasible optimal trajectories and update maps for the swarm of UAVs to surveil the entire area of interest.