| dc.contributor.author | Skačkauskas, Paulius | |
| dc.contributor.author | Sokolovskij, Edgar | |
| dc.date.accessioned | 2023-09-18T17:43:10Z | |
| dc.date.available | 2023-09-18T17:43:10Z | |
| dc.date.issued | 2019 | |
| dc.identifier.issn | 1407-6160 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/125480 | |
| dc.description.abstract | To achieve the overall goal of realising an efficient and advantageous participation of autonomous ground vehicles in the transport system as fast as possible, a lot of work is being done in different and specific research fields. One of the most important research fields, which has a large impact on safe autonomous ground vehicle realisation, is the development of path planning algorithms. Therefore, this work describes in detail the development and application of a hybrid path planning algorithm. The described algorithm is based on classical and heuristic path planning approaches and can be applied in unstructured and structured environments. The efficiency of the algorithm was investigated by applying the algorithm and executing theoretical and experimental tests. The theoretical and experimental tests were executed while optimising different complexity paths. Results analysis demonstrated that the described algorithm can generate a smooth, dynamically feasible and collision-free path. | eng |
| dc.format | PDF | |
| dc.format.extent | p. 1-11 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | J-Gate | |
| dc.relation.isreferencedby | INSPEC | |
| dc.relation.isreferencedby | DOAJ | |
| dc.relation.isreferencedby | Scopus | |
| dc.relation.isreferencedby | Emerging Sources Citation Index (Web of Science) | |
| dc.source.uri | https://doi.org/10.2478/ttj-2019-0001 | |
| dc.title | Analysis of the hybrid global path planning algorithm for different environments | |
| dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
| dcterms.references | 14 | |
| dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Transporto inžinerijos fakultetas / Faculty of Transport Engineering | |
| dc.subject.researchfield | T 003 - Transporto inžinerija / Transport engineering | |
| dc.subject.vgtuprioritizedfields | TD0101 - Autonominis sausumos ir oro transportas / Autonomous land and air transport | |
| dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
| dc.subject.en | autonomous vehicle | |
| dc.subject.en | path planning | |
| dc.subject.en | hybrid algorithm | |
| dc.subject.en | optimisation | |
| dc.subject.en | structured environment | |
| dc.subject.en | unstructured environment | |
| dcterms.sourcetitle | Transport and telecommunication journal | |
| dc.description.issue | no. 1 | |
| dc.description.volume | vol. 20 | |
| dc.publisher.name | Transport and Telecommunication Institute | |
| dc.publisher.city | Warsaw; Riga | |
| dc.identifier.doi | 000460346200001 | |
| dc.identifier.doi | 2-s2.0-85064990399 | |
| dc.identifier.doi | 10.2478/ttj-2019-0001 | |
| dc.identifier.elaba | 34923072 | |