Real-time path planning considering static and dynamic obstacles
| dc.contributor.author | Subies Hueso, Josep | |
| dc.contributor.author | Mondal, Sabyasachi | |
| dc.contributor.author | Tsourdos, Antonios | |
| dc.date.accessioned | 2024-02-06T15:34:56Z | |
| dc.date.available | 2024-02-06T15:34:56Z | |
| dc.date.issued | 2024-01-04 | |
| dc.description.abstract | This 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.identifier.citation | Subies 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 2024-0875 | en_UK |
| dc.identifier.uri | https://doi.org/10.2514/6.2024-0875 | |
| dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/20752 | |
| dc.language.iso | en | en_UK |
| dc.publisher | AIAA | en_UK |
| dc.rights | Attribution-NonCommercial 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
| dc.title | Real-time path planning considering static and dynamic obstacles | en_UK |
| dc.type | Conference paper | en_UK |