:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
FEATURE PEER-REVIEWED ARTICLE
Shahad M. Majeed, Issa Ahmed Abed, Alaa A. Alsafaar(Basrah Engineering Technical College, Southern Technical University, IRAQ).
Disciplinary: Electrical Engineering (Robotics & Image Processing).
Keywords: A* algorithm; Shortest path; Static obstacle; Dynamic obstacle; Path routing; Mobile robot; Robotic navigation; Vision system; Robotic navigation.
Robotic navigation is an important apprehension for an autonomous project, and for robots with specialized modes of movement, it can be especially difficult to conduct path planning. In this work, the authors evaluate a path planning model by analyzing the environment based on an image processing method. The main target of our work, build the environment of a robot with static and dynamic obstacles, for static obstacles the authors suggest the environment as an image by using MATLAB software and find the shortest path between any two points in the space with obstacles detection and avoidance using A* algorithm using Euclidean distance to compute the heuristic distance of the start point to the destination, then determining the number of steps(pixels) from the source point to the destination and compute the time required to reach the goal.
Paper ID: 12A8A
Cite this article:
Majeed, S. M., Abed, I. A., Alsafaar, A. A. (2021). Path Planning with Static and Dynamic Obstacles Avoidance Using Image Processing. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 12(8), 12A8A, 1-7. http://doi.org/10.14456/ITJEMAST.2021.148