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Real-time path planning considering static and dynamic obstacles

dc.contributor.authorSubies Hueso, Josep
dc.contributor.authorMondal, Sabyasachi
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2024-02-06T15:34:56Z
dc.date.available2024-02-06T15:34:56Z
dc.date.freetoread2024-01-12
dc.date.issued2024-01-04
dc.date.pubOnline2024-01-04
dc.description.abstractThis paper introduces a real-time path planning strategy that effectively navigates around both static and dynamic obstacles. The approach combines the principles of Generalised Explicit Vector (GENEX) and Inverse Proportional Navigation (IPN), established algorithms in missile guidance known for their advantageous features such as low computation and closedform expressions. Leveraging these attributes, the proposed strategy addresses path planning challenges involving static and dynamic obstacles. The performance of the combined algorithm is assessed through a comprehensive simulation study in both 2D and 3D scenarios, considering multiple static and dynamic obstacles.en_UK
dc.description.conferencenameAIAA SCITECH 2024 Forum
dc.identifier.citationSubies Hueso J, Mondal S, Tsourdos A. (2024) Real-time path planning considering static and dynamic obstacles. In: AIAA SCITECH 2024 Forum, 8-12 January 2024, Orlando, USA. Paper number AIAA 2024-0875en_UK
dc.identifier.urihttps://doi.org/10.2514/6.2024-0875
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20752
dc.language.isoenen_UK
dc.publisherAmerican Institute of Aeronautics and Astronautics (AIAA)en_UK
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.titleReal-time path planning considering static and dynamic obstaclesen_UK
dc.typeConference paperen_UK
dcterms.coverageOrlando, USA
dcterms.temporal.endDate2024-01-12
dcterms.temporal.startDate2024-01-08

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