Abstract
The problem of generating optimal flight trajectories in the presence of no-fly zones and/or obstacles is computationally expensive. It is usually solved offline, at least for those parts which cannot satisfy real time constraints. Here we investigate the exploitation of two parallel programming techniques to reduce the lead time. The former employs some parallelization techniques formulti-core and/or multi-processor platforms. The latter is targeted to a distributed fleet of Unmanned Aerial Vehicles. Here the statement of the problem and preliminary development are discussed. A two-dimensional scenario is analysed by way of example to show the applicability and the effectiveness of the approaches.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
