An Accelerated Path Planning Approach
Ahmed, Esraa Morsi; Hossam El DIn Hassan Abdelmunim; Shehata Bedour, Hassan M.;
Abstract
Path planning is critical in robotics as well as autonomous driving applications. This research provides a modified path planning algorithm by enhancing the performance of the probabilistic roadmap (PRM) approach. The proposed technique is based on dividing the domain of motion and solves the relative path in each division. Our results on synthetic maps show a dramatic reduction on processing time compared with the conventional algorithm.
Other data
| Title | An Accelerated Path Planning Approach | Authors | Ahmed, Esraa Morsi; Hossam El DIn Hassan Abdelmunim ; Shehata Bedour, Hassan M. | Keywords | Absolute Motion;k.absolute (number of nodes in Absolute mode);k.relative ((number of nodes in Relative mode);Path Length (PL);Path Planning;PRM (Probabilistic roadmap approach);Processing Time (PT);Relative Motion | Issue Date | 2-Jul-2018 | Conference | Proceedings 2018 13th International Conference on Computer Engineering and Systems Icces 2018 | ISBN | [9781538651117] | DOI | 10.1109/ICCES.2018.8639491 | Scopus ID | 2-s2.0-85063134087 |
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