Simultaneous localisation and mapping for robot navigation(software)
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Description
Experience Level: Intermediate
This project aims at using Simultaneous Localization And Mapping(SLAM) for robot navigation and mapping for a given environment . SLAM is a process by which a mobile robot can build a map of an environment and at the same time use this map to deduce its location. Initially, both the map and the robot position are not known, the robot has a known kinematic model and it is moving through the unknown environment, which is populated with artificial or natural landmarks. A simultaneous estimate of both robot and landmark locations is required. The SLAM problem involves finding appropriate representation for both the observation and the motion models. Modules are
1) Image Classification(Training and testing)
2) Vocabulary Construction(Feature extraction, clustering)
3)Localisation
4) Mapping
1) Image Classification(Training and testing)
2) Vocabulary Construction(Feature extraction, clustering)
3)Localisation
4) Mapping
Fyp2015 F.
0% (0)Projects Completed
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Projects awarded
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Last project
13 May 2024
United States
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