Abstract:
Mapping through crowdsourcing includes determining, using a processor, segments for a plurality of trajectories, wherein each trajectory includes radio frequency (RF) data from a communication device, determining, using the processor, RF features for the segments, and forming, using the processor, clusters of the segments according to the RF features. One or more routes of a map are generated from the clusters using the processor.
Abstract:
Mapping through crowdsourcing includes determining, using a processor, segments for a plurality of trajectories, wherein each trajectory includes radio frequency (RF) data from a communication device, determining, using the processor, RF features for the segments, and forming, using the processor, clusters of the segments according to the RF features. One or more routes of a map are generated from the clusters using the processor.
Abstract:
Mapping through crowdsourcing includes determining, using a processor, segments for a plurality of trajectories, wherein each trajectory includes radio frequency (RF) data from a communication device, determining, using the processor, RF features for the segments, and forming, using the processor, clusters of the segments according to the RF features. One or more routes of a map are generated from the clusters using the processor.
Abstract:
A method and device for automatic semantic labeling of unlabeled places using activity recognition. A method includes determining at least one activity based on analyzing electronic device sensor data. Localization for the electronic device is performed to determine location for an unknown semantic place. An observed mapping between the at least one activity and the location for the unknown semantic place is determined. A typical mapping between the at least one activity and at least one semantic place is determined. Using the observed mapping and the typical mapping from one or more other electronic devices, the unknown semantic place is assigned with a semantic place label representing the at least one semantic place for identifying the unknown semantic place. A semantic place map is updated to include the semantic place label.
Abstract:
Mapping through crowdsourcing includes determining, using a processor, segments for a plurality of trajectories, wherein each trajectory includes radio frequency (RF) data from a communication device, determining, using the processor, RF features for the segments, and forming, using the processor, clusters of the segments according to the RF features. One or more routes of a map are generated from the clusters using the processor.
Abstract:
A method and device for automatic semantic labeling of unlabeled places using activity recognition. A method includes determining at least one activity based on analyzing electronic device sensor data. Localization for the electronic device is performed to determine location for an unknown semantic place. An observed mapping between the at least one activity and the location for the unknown semantic place is determined. A typical mapping between the at least one activity and at least one semantic place is determined. Using the observed mapping and the typical mapping from one or more other electronic devices, the unknown semantic place is assigned with a semantic place label representing the at least one semantic place for identifying the unknown semantic place. A semantic place map is updated to include the semantic place label.