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Title: | Analysis of the hybrid global path planning algorithm for different environments |
Authors: | Skačkauskas, Paulius Sokolovskij, Edgar |
Keywords: | autonomous vehicle path planning hybrid algorithm optimisation structured environment unstructured environment |
Issue Date: | 2019 |
Publisher: | Sciendo; Transport and Telecommunication Institute |
Citation: | Skackauskas P., Sokolovskij E. 2019. ANALYSIS OF THE HYBRID GLOBAL PATH PLANNING ALGORITHM FOR DIFFERENT ENVIRONMENTS, TRANSPORT AND TELECOMMUNICATION JOURNAL 20(1): 1–11. |
Series/Report no.: | 20;1 |
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. |
URI: | http://dspace.vgtu.lt/handle/1/3815 |
ISSN: | 1407-6179 |
Appears in Collections: | Moksliniai straipsniai / Research articles
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