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Computational Complexity of Path Planning Algorithms Based on Safe Triangles and Quadtree as Work Space Representations: A Comparison

Mao, Xiaozhao (2023)
Computational Complexity of Path Planning Algorithms Based on Safe Triangles and Quadtree as Work Space Representations: A Comparison.
In: IFAC Proceedings Volumes, 1991, 24 (9)
doi: 10.26083/tuprints-00023387
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Computational Complexity of Path Planning Algorithms Based on Safe Triangles and Quadtree as Work Space Representations: A Comparison
Language: English
Date: 2023
Place of Publication: Darmstadt
Year of primary publication: 1991
Publisher: IFAC - International Federation of Automatic Control
Journal or Publication Title: IFAC Proceedings Volumes
Volume of the journal: 24
Issue Number: 9
DOI: 10.26083/tuprints-00023387
Corresponding Links:
Origin: Secondary publication service
Abstract:

Computational complexity of two path planning approaches for a two-dimensional (2D) work space is considered: The approach using safe triangles and the approach based on quadtree. The average cost of establishing work space representation, i.e. of building the safe triangles and the quadtree respectively, are estimated. Both approaches are simulated to plan paths for numerous work spaces with obstacles which are generated at random. The results of the simulation are summarized to show the expected behavior of each approach. Comparison based on analyses and simulation is presented.

Uncontrolled Keywords: Computational complexity, path planning, robotics, space representation
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-233876
Additional Information:

Zugl. Konferenzveröffentlichung: 3rd IFAC Symposium on Robot Control 1991 (SYROCO'91), 16.-18.09.1991, Vienna, Austria

Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Intelligent Systems
Date Deposited: 25 Apr 2023 12:38
Last Modified: 12 Jul 2023 08:48
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23387
PPN: 509503683
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