ProgramsView all programs
From the news
- Chancellor Amma Addresses the Parliament of World’s Religions
- Amrita Students Qualify for the European Mars Rover Challenge
Publication Type : Book Chapter
Thematic Areas : TIFAC-CORE in Cyber Security
Publisher : Springer Link
Source : Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 941)
Campus : Coimbatore
Year : 2019
Abstract : With the development of many autonomous systems, the need for efficient and robust path planners are increasing every day. Inspired by the intelligence of the heuristic, a normalized rank-based A* algorithm has been proposed in this paper to find the optimal path between a start and destination point on a classified image. The input image is classified and a normalized rank value based on the priority of traversal on each class is associated with each point on the image. Using the modified A* algorithm, the final optimal path is obtained. The obtained results are compared with the traditional method and results are found to be far better than existing method.
Cite this Research Publication : V. Sangeetha., Sivagami R., Ravichandran K.S. (2020) A Normalized Rank Based A* Algorithm for Region Based Path Planning on an Image. In: Abraham A., Cherukuri A., Melin P., Gandhi N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 941. Springer, Cham.