Investigating Simultaneous Localization and Mapping for an Automated Guided Vehicle
The aim of the thesis is to apply simultaneous localization and mapping (SLAM) to automated guided vehicles (AGVs) in a Robot Operating System (ROS) environment. Different sensor setups are used and evaluated. The SLAM applications used is the open-source solution Cartographer as well as Intel'...
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Format: | Others |
Language: | English |
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Linköpings universitet, Reglerteknik
2019
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-163075 |