Subscription or Fee Access
3D Dynamic UAV Path Planning for Interception of Moving Target in Cluttered Environment
Three dimensional dynamic UAV’s path planning for interception of moving target still becomes open research in fully autonomous UAV field. In most situations of approaching the target, UAV has to deal with cluttered environment. The objective of this research is to enhance L+Dumo Algorithm for interception of moving target in cluttered environment. The enhancement is done by developing equations for controlling termination process and for adapting to the velocity of the target. The algorithm which consists of these equations is tested by using a simulation of one UAV and one moving target with random obstacles in between both objects. The UAV and the target are set up with different positions in each scenario to obtain the accurate result. The test results prove that the algorithm can solve dynamic path planning problem and meet flyable path constrain in cluttered environment with 82.75% of accuracy. Time complexity of the algorithm is O(n2) in the worst case.
3D dynamic path planning, cluttered environment, moving target, L+Dumo algorithm
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.