Simultaneous Localization and Mapping using Radio Signals - Vidiyala, Saikrishna
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The Simultaneous Localization And Mapping (SLAM) challenge entails reconstructing an unknown environment while also determining the location of a moving object. This problem is more general and difficult than the individual mapping or localization difficulties that can be considered as particular cases of SLAM.Many applications necessitate the reconstruction of a consistent map; in general, many applications may require a robot to explore an unknown environment and report its findings to a human operator. For example, in outdoor autonomous navigation of robots, SLAM is not required if the…mehr

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Produktbeschreibung
The Simultaneous Localization And Mapping (SLAM) challenge entails reconstructing an unknown environment while also determining the location of a moving object. This problem is more general and difficult than the individual mapping or localization difficulties that can be considered as particular cases of SLAM.Many applications necessitate the reconstruction of a consistent map; in general, many applications may require a robot to explore an unknown environment and report its findings to a human operator. For example, in outdoor autonomous navigation of robots, SLAM is not required if the robot has access to GPS; conversely, in indoor environments, the use of GPS for localization scope is ruled out.
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Autorenporträt
My name is Sai Krishna Vidiyala, MSc Graduate from Alma Mater Studiorum - Universita di Bologna with a Master's degree in Telecommunications Engineering.