|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 178 - Issue 29 |
| Published: Jul 2019 |
| Authors: Mohamed M. Ghoniem, A. E. El-Alfi, A. F. Elgamal |
10.5120/ijca2019919138
|
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.