<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Analysis of the Hybrid Global Path Planning Algorithm for Different Environments

Transport and Telecommunication Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Analysis of the Hybrid Global Path Planning Algorithm for Different Environments"}

To achieve the overall goal of realising an efficient and advantageous participation of autonomous ground vehicles in the transport system as fast as possible,...

Analysis of the Hybrid Global Path Planning Algorithm for Different Environments

Online veröffentlicht: 02. März 2019

Seitenbereich: 1 - 11

DOI: https://doi.org/10.2478/ttj-2019-0001

Schlüsselwörter
autonomous vehicle, path planning, hybrid algorithm, optimisation, structured environment, unstructured environment

© 2019 Transport and Telecommunication Institute, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Analysis of the Hybrid Global Path Planning Algorithm for Different Environments

Online veröffentlicht: 02. März 2019

Seitenbereich: 1 - 11

DOI: https://doi.org/10.2478/ttj-2019-0001

Schlüsselwörterautonomous vehicle, path planning, hybrid algorithm, optimisation, structured environment, unstructured environment

© 2019 Transport and Telecommunication Institute, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
autonomous vehicle, path planning, hybrid algorithm, optimisation, structured environment, unstructured environment