Maps element prediction from raw time-series position data using machine learning techniques
Having geopositional tracking data of users moving in the work space, we would like to detect map elements such as paths, zones of interest and borders and to create abroad map of the working area from this time series raw data. In order to do so, an experiment to generate data was conducted to emul...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Institutionen för informationsteknologi
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-459517 |