UAV Path Planning in Search Operations

Kamrani, Farzad; Ayani, Rassul

doi:10.5772/6479

Cited by 5 publications

(5 citation statements)

References 13 publications

(17 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is logical that with the increase in the density of the potential observers in the observed area, the advantage of patrol decreases. It happens because the standard deviation of the reports given by external persons decreases the amount of efficiency (3). This statement can be accepted as a logical conclusion:…”

Section: Path Planning Is Effective In Professional Point Of Viewmentioning

confidence: 92%

“…The method of acquiring the most efficient solution in a given criteria is called as the optimization process. There is an abundance of literature and studies dealing with this problem, such as a common problem [1], a special problem for ground [2] or aerial vehicles [3], and a problem of industrial robots [4] or public service [5], even the author's team [6] tried to analyze the problem, that results are basically used for this study.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Path Planning Optimization with Flexible Remote Sensing Application

Restás¹

2019

Path Planning for Autonomous Vehicles - Ensuring Reliable Driverless Navigation and Control Maneuver

View full text Add to dashboard Cite

The purpose of the path planning optimization is to find the most favorable route between starting and arrival points based on defined criteria and target functions. The change in the characteristics of each route becomes complicated when there is an increase in the number of intermediate points. This study predominately analyses the monitoring of a limited area. The author demonstrates how the path of the autonomous systems will change in different conditions and further introduces the possibility of using mobile remote sensing systems. The test is performed firstly in 2D flat area, then 3D spaces, and then-taking a forest fire as an example-the ideal conditions changed to reality. The study reveals findings on efficiency, based both on professional and economic considerations. The utilization of remote sensing technologies was found to optimize the observation of the given area generating new problems, such as what is the size of the monitored area at a given moment and how can we increase it for the higher effectiveness. An increase in the size of the monitored area results into an efficient and functional autonomous system albeit generating a shorter and modified path. Mobile autonomous systems therefore can be replaced by stable systems; simultaneously under real conditions, they can be more efficient than stable ones.

show abstract

Section: Path Planning Is Effective In Professional Point Of Viewmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Path Planning Optimization with Flexible Remote Sensing Application

Restás¹

2019

Path Planning for Autonomous Vehicles - Ensuring Reliable Driverless Navigation and Control Maneuver

View full text Add to dashboard Cite

show abstract

“…UAVs can also have a wide civilian application, for example, observation and control of pipelines, electric tractions and road traffic. Because of that, more than 250 UAV models are developed and manufactured all over the world [2]. Many scientific institutions are engaged in developing and identifying models of dynamics and flight control of UAVs.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Model of Movement of the Observation and Tracking Head of an Unmanned Aerial Vehicle Performing Ground Target Search and Tracking

Krzysztofik

Koruba

2014

Journal of Applied Mathematics

View full text Add to dashboard Cite

The paper presents the kinematics of mutual movement of an unmanned aerial vehicle (UAV) and a ground target. The controlled observation and tracking head (OTH) is a device responsible for observing the ground, searching for a ground target, and tracking it. The preprogrammed movement of the UAV on the circle with the simultaneous movement of the head axis on Archimedes’ spiral during searching for a ground target, both fixed (bunkers, rocket missiles launching positions, etc.) and movable (tanks, infantry fighting vehicles, etc.), is considered. Dynamics of OTH during the performance of the above mentioned activities is examined. Some research results are presented in a graphical form.

show abstract

“…Geometrical methods such as spline interpolation are used in order to get smoother curves through a number of waypoints [15,16]. In [7], path planning is defined using a Monte Carlo searching of the best path using online detected parameters.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, UAVs are often used in SAR operations. The common operation of these UAVs is to be commanded remotely by a SAR team member [7]. The UAV is moved by its pilot to the desired areas in order to collect the relevant information for the SAR mission [8].…”

Section: Introductionmentioning

confidence: 99%

Intelligent UAV Map Generation and Discrete Path Planning for Search and Rescue Operations

2018

View full text Add to dashboard Cite

Search and Rescue Operations (SAR) take place in any emergency situation where people are involved and their lives are at risk. These operations are nowadays carried out with the help of advanced technology, such as Unmanned Aerial Vehicles (UAVs). In this work, several methods are proposed to calculate the UAV discrete path planning. Previously, an intelligent characterization of the searching area is performed to estimate a potential risk/occupancy degree of the gridding map. This estimation is mainly based on fuzzy logic, considering different factors. Then, four methods are applied to calculate the path planning: an original proposal called attraction, fuzzy logic, ANFIS, and a PSO algorithm. All of them calculate the location of the waypoints to be followed by the UAVs to minimize the distance and the risk the people is exposed to. Then, these strategies are adapted to the possibility of having more than one UAV searching at the same time, and the swarm formation is discussed. Finally, these four solutions for path planning, including different number of UAVs, are tested in a real simulation scenario, and then the performance of each method is analyzed and compared with the others.

show abstract

UAV Path Planning in Search Operations

Abstract: QC 2011120

Cited by 5 publications

References 13 publications

Path Planning Optimization with Flexible Remote Sensing Application

Path Planning Optimization with Flexible Remote Sensing Application

Mathematical Model of Movement of the Observation and Tracking Head of an Unmanned Aerial Vehicle Performing Ground Target Search and Tracking

Intelligent UAV Map Generation and Discrete Path Planning for Search and Rescue Operations

Contact Info

Product

Resources

About