International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 178 - Number 29 |
Year of Publication: 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
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.