Print Email Facebook Twitter Performance Analysis of Monte Carlo Localization Algorithm Title Performance Analysis of Monte Carlo Localization Algorithm Author Gökbulut, Mert (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Venkatesha Prasad, R.R. (mentor) Simha, A. (mentor) Sharma, S. (mentor) Chen, Lydia Y. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2022-06-22 Abstract One of the key problems of swarm robotics is how the mobile robots can navigate accurately in a given environment. To achieve this, the mobile robots need to accurately determine where they are globally, or relative to other robots and landmarks. This paper is going to be an investigation of the Monte Carlo Localization algorithm in an environment containing 3 anchors. In addition, an alternative modification is suggested to this localization algorithm to improve the localization performance. An experiment is devised to assess different aspects of localization performances of these algorithms. With the experimental results, a quantitative analysis of performance figures are compared and analyzed. Subject monte carlo localizationparticle filterLIDAR To reference this document use: http://resolver.tudelft.nl/uuid:6c53aa49-2cce-49fb-ba86-9a1101d539e4 Part of collection Student theses Document type bachelor thesis Rights © 2022 Mert Gökbulut Files PDF Thesis_8_.pdf 1.09 MB Close viewer /islandora/object/uuid:6c53aa49-2cce-49fb-ba86-9a1101d539e4/datastream/OBJ/view