Publication: Hyper-Heuristics for Online UAV Path Planning Under Imperfect Information
| dc.contributor.author | TOPCUOĞLU, HALUK RAHMİ | |
| dc.contributor.authors | Akar, Engin; Topcuoglu, Haluk Rahmi; Ermis, Murat | |
| dc.contributor.editor | EsparciaAlcazar, AI | |
| dc.date.accessioned | 2022-03-12T16:14:47Z | |
| dc.date.accessioned | 2026-01-11T09:24:38Z | |
| dc.date.available | 2022-03-12T16:14:47Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | Hyper-heuristic techniques are problem independent meta-heuristics that automate the process of selecting a set of given low-level heuristics. Online path planning in an uncertain or unknown environment is one of the challenging problems for autonomous unmanned aerial vehicles (UAVs). This paper presents a hyper-heuristic approach to develop a 3-D online path planning for unmanned aerial vehicle (UAV) navigation under sensing uncertainty. The information regarding the state of a UAV is obtained from on-board sensors during the execution of a navigation plan. The trajectory of a UAV at each region is represented with B-spline curves, which is constructed by a set of dynamic control points. Experimental study performed on various terrains with different characteristics validates the usage of hyper-heuristics for online path planning. Our approach outperforms related work with respect to the quality of solutions and the number of feasible solutions produced. | |
| dc.identifier.doi | 10.1007/978-3-662-45523-4_60 | |
| dc.identifier.eissn | 1611-3349 | |
| dc.identifier.isbn | 978-3-662-45523-4; 978-3-662-45522-7 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.uri | https://hdl.handle.net/11424/225468 | |
| dc.identifier.wos | WOS:000354874300060 | |
| dc.language.iso | eng | |
| dc.publisher | SPRINGER-VERLAG BERLIN | |
| dc.relation.ispartof | APPLICATIONS OF EVOLUTIONARY COMPUTATION | |
| dc.relation.ispartofseries | Lecture Notes in Computer Science | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Unmanned Aerial Vehicles | |
| dc.subject | Trajectory design | |
| dc.subject | Hyper-heuristics | |
| dc.title | Hyper-Heuristics for Online UAV Path Planning Under Imperfect Information | |
| dc.type | conferenceObject | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 752 | |
| oaire.citation.startPage | 741 | |
| oaire.citation.title | APPLICATIONS OF EVOLUTIONARY COMPUTATION | |
| oaire.citation.volume | 8602 |