International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 178 - Issue 29 |
Published: Jul 2019 |
Authors: Mohamed M. Ghoniem, A. E. El-Alfi, A. F. Elgamal |
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Mohamed M. Ghoniem, A. E. El-Alfi, A. F. Elgamal . A Novel Path Planning System for Guidance of Blind People using Integration of GA and A* Techniques. International Journal of Computer Applications. 178, 29 (Jul 2019), 26-34. DOI=10.5120/ijca2019919138
@article{ 10.5120/ijca2019919138, author = { Mohamed M. Ghoniem,A. E. El-Alfi,A. F. Elgamal }, title = { A Novel Path Planning System for Guidance of Blind People using Integration of GA and A* Techniques }, journal = { International Journal of Computer Applications }, year = { 2019 }, volume = { 178 }, number = { 29 }, pages = { 26-34 }, doi = { 10.5120/ijca2019919138 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2019 %A Mohamed M. Ghoniem %A A. E. El-Alfi %A A. F. Elgamal %T A Novel Path Planning System for Guidance of Blind People using Integration of GA and A* Techniques%T %J International Journal of Computer Applications %V 178 %N 29 %P 26-34 %R 10.5120/ijca2019919138 %I Foundation of Computer Science (FCS), NY, USA
It is a challenging task for the blind people to perceive indoor environment information and walk independently. Path planning is a crucial requirement to provide constant assistance for blind people to navigate from one location to another. This paper presents a novel system for path planning to assist blind people for walking through the indoor environment and avoiding the obstacles. The algorithm is based on genetic algorithm and A* algorithm to select the shortest path that achieves the lowest computational time. A comparison a mong the GA, A* and the new algorithm shows that is faster and shorter than the previous algorithms.