Abstract:
In one aspect, a method for determining a location of a landmark using a map is described. Trajectory data is obtained indicating movement of a device at an area. The trajectory data indicates a landmark. A map is obtained of the area. At least a portion of the trajectory data is compared and/or matched with at least a portion of the map. Based on the matching, a location of the landmark is determined in the map. Various implementations involve system, devices and software relating to the above method.
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 technique to automatically determine a shape of a path based on crowdsourced trajectory data is disclosed. Trajectory data is collected for a plurality of crowdsourced paths. The trajectory data for each of the plurality of crowdsourced paths is associated with at least one uniquely identifiable ambient signal. Anchor points may be identified corresponding to a transition in a characteristic of trajectory data of an individual crowdsourced path. Matching may be performed based on analyzing matching patterns of anchor points and evaluating the matches. Various embodiments involve using a linked node structure to represent one or more traces and/or indicate routes in a particular geographical area.
Abstract:
A method comprising receiving different types of crowd-sourced information, the different types of crowd-sourced information relating to a physical store that a plurality of electronic devices have visited. The method further comprises determining a plurality of products available in the physical store based on the different types of crowd-sourced information, and correlating the different types of crowd-sourced information to determine at least one product location of at least one product of the plurality of products available. Each product location of each product identifies a location of the product within the physical store.
Abstract:
In one aspect, GPS data, ambient signal data, radio frequency data and/or other types of data are used to determine the location of an entrance to an area or a building. In another aspect, sequential trajectory data is collected and the data is analyzed and/or processed to determine the location of an area of interest.
Abstract:
A method comprising receiving different types of crowd-sourced information, the different types of crowd-sourced information relating to a physical store that a plurality of electronic devices have visited. The method further comprises determining a plurality of products available in the physical store based on the different types of crowd-sourced information, and correlating the different types of crowd-sourced information to determine at least one product location of at least one product of the plurality of products available. Each product location of each product identifies a location of the product within the physical store.
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.