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Please use this identifier to cite or link to this item: http://dspace.vgtu.lt/handle/1/3815

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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