Method and apparatus for providing qualitative trajectory analytics to classify probe data
First Claim
1. A method for automated detection of a point of interest from probe data, comprising:
- processing the probe data to determine one or more trajectories associated with one or more probes, wherein the one or more probes are vehicles with corresponding location sensors, and wherein the location sensors receive location signals represented by the probe data;
determining one or more clips of the one or more trajectories associated with a location at which the one or more probes lingered based on a comparison of the location signals collected by the location sensors in the one or more clips to at least one space threshold value or at least one time threshold value;
extracting one or more probe parameter values from the one or more clips, wherein the one or more probe parameter values include one or more heading values determined from the location signals collected by the location sensors;
classifying the one or more probe parameter values into one or more qualitative categories by categorizing the one or more heading values associated with the one or more clips into one or more predetermined heading ranges, wherein the one or more qualitative categories include a plurality of driving maneuver categories;
determining, by an apparatus without user inputs and without knowledge of an existence of the point of interest, the location as a point of interest and a type of the point of interest based on the one or more qualitative categories; and
updating, by the apparatus, the location as the point of interest associated with the type of point of interest in a geographic database,wherein a map application presentation of the point of interest marked with the type of point of interest is provided on a user interface based on the geographic database for navigation or one or more navigation-related services.
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Accused Products
Abstract
An approach is provided for classifying probe data into qualitative categories to determine a point of interest. The approach involves processing and/or facilitating a processing of probe data to determine one or more trajectories associated with one or more probes. The approach also involves determining one or more clips of the one or more trajectories associated with one or more locations at which the one or more probes lingered based, at least in part, on at least one space threshold value, at least one time threshold value, or a combination thereof. The approach further involves causing, at least in part, an extraction of one or more probe parameter values from the one or more clips. The approach also involves causing, at least in part, a classification of the one or more probe parameter values into one or more qualitative categories. The approach further involves determining one or more points of interest, one or more characteristics of the one or more points of interest, or a combination thereof associated with the one or more locations based, at least in part, on the one or more qualitative categories.
9 Citations
20 Claims
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1. A method for automated detection of a point of interest from probe data, comprising:
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processing the probe data to determine one or more trajectories associated with one or more probes, wherein the one or more probes are vehicles with corresponding location sensors, and wherein the location sensors receive location signals represented by the probe data; determining one or more clips of the one or more trajectories associated with a location at which the one or more probes lingered based on a comparison of the location signals collected by the location sensors in the one or more clips to at least one space threshold value or at least one time threshold value; extracting one or more probe parameter values from the one or more clips, wherein the one or more probe parameter values include one or more heading values determined from the location signals collected by the location sensors; classifying the one or more probe parameter values into one or more qualitative categories by categorizing the one or more heading values associated with the one or more clips into one or more predetermined heading ranges, wherein the one or more qualitative categories include a plurality of driving maneuver categories; determining, by an apparatus without user inputs and without knowledge of an existence of the point of interest, the location as a point of interest and a type of the point of interest based on the one or more qualitative categories; and updating, by the apparatus, the location as the point of interest associated with the type of point of interest in a geographic database, wherein a map application presentation of the point of interest marked with the type of point of interest is provided on a user interface based on the geographic database for navigation or one or more navigation-related services. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. An apparatus for automated detection of a point of interest from probe data, comprising:
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at least one processor; and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following, process the probe data to determine one or more trajectories associated with one or more probes, wherein the one or more probes are vehicles with corresponding location sensors, and wherein the location sensors receive location signals represented by the probe data; determine one or more clips of the one or more trajectories associated with a location at which the one or more probes lingered based on a comparison of the location signals collected by the location sensors in the one or more clips to at least one space threshold value or at least one time threshold value; extract one or more probe parameter values from the one or more clips, wherein the one or more probe parameter values include one or more heading values determined from the location signals collected by the location sensors; classify the one or more probe parameter values into one or more qualitative categories by categorizing the one or more heading values associated with the one or more clips into one or more predetermined heading ranges, wherein the one or more qualitative categories include a plurality of driving maneuver categories; determine, without user inputs and without knowledge of an existence of the point of interest, the location as a point of interest and a type of the point of interest based on the one or more qualitative categories; and update the location as the point of interest associated with the type of point of interest in a geographic database, wherein a map application presentation of the point of interest marked with the type of point of interest is provided on a user interface based on the geographic database for navigation or one or more navigation-related services. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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18. A non-transitory computer-readable storage medium for automated detection of a point of interest from probe data carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to at least perform the following steps:
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processing the probe data to determine one or more trajectories associated with one or more probes, wherein the one or more probes are vehicles with corresponding location sensors, and wherein the location sensors receive location signals represented by the probe data; determining one or more clips of the one or more trajectories associated with a location at which the one or more probes lingered based on a comparison of the location signals collected by the location sensors in the one or more clips to at least one space threshold value or at least one time threshold value; extracting one or more probe parameter values from the one or more clips, wherein the one or more probe parameter values include one or more heading values determined from the location signals collected by the location sensors; classifying the one or more probe parameter values into one or more qualitative categories by categorizing the one or more heading values associated with the one or more clips into one or more predetermined heading ranges, wherein the one or more qualitative categories include a plurality of driving maneuver categories; determining, without user inputs and without knowledge of an existence of the point of interest, the location as a point of interest and a type of the point of interest based on the one or more qualitative categories; and updating the location as the point of interest associated with the type of point of interest in a geographic database, wherein a map application presentation of the point of interest marked with the type of point of interest is provided on a user interface based on the geographic database for navigation or one or more navigation-related services. - View Dependent Claims (19, 20)
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Specification