Adapting Enhanced the Simultaneous Localization and Mapping (SLAM) Process Based on Artificial Neural Network
Musa A Hameed Al Douri, Hussein H Owaied
Journal of Electronic Systems, Vol. 3, No. 3, 2013.
DOI: 
Link: http://www.dline.info/jes/fulltext/v3n3/4.pdf
Abstract:
Different systems were implemented for environments mapping and navigation. Simultaneous Localization and Mapping process is considered an important one of them, this process allowed humans to be able to navigate and draw maps for environments where humans are not able to get through. Using several methods of preparing datasets for the landmarks of an environment, SLAM was able to navigate and build its own map of landmarks based on them. In our work, we benefitted from previous approaches design an enhanced SLAM system, which is based on Artificial Neural Network. However, by training this network on real dataset of environments, our proposed system was able to navigate an environment and build its own map accurately and without prerequisite.