Here Global B.v.

Caterpillar Inc.

Daniela Radakovic

Arnold Sheynman

Kyle Jackson

Anatoly S Belkin

James Mason

Toby Tennent

Daniel Joseph Reaume

Daniel Jude Organ

Navid Tafaghodi Khajavi

Eric J Philips

Brandon Hootman

An approach is provided for accurate travel time prediction. The approach involves, for example, determining probe data collected within a threshold proximity of a vehicle location and a pickup location. The probe data may be collected, for example, from a location sensor of at least one probe vehicle that has previously traversed the vehicle location and the pickup location. The approach also involves processing the probe data to identify a travel time of a route taken by the at least one probe vehicle from the vehicle location to the pickup location. The approach also involves providing the travel time as an output indicating a wait time for a vehicle at the vehicle location to reach the pickup location.

Method and apparatus for ridesharing pickup wait time prediction

A method, apparatus, and non-transitory computer readable storage medium for traffic report certainty estimation. The approach may include determining at least one data input to a traffic model for generating a traffic report estimation for a road segment. The approach may also involve determining at least one input characteristic value associated with the at least one data input based, at least in part, on probe data collected from one or more sensors of at least one probe device. The approach may further involve determining a coefficient of certainty value from a certainty table based on the at least one input characteristic value, wherein the certainty table respectively maps one or more value intervals of the at least one input characteristic value to a pre-assigned coefficient of certainty value, and providing the coefficient of certainty value as an output associated with the traffic report.

Method and apparatus for traffic report certainty estimation

A method for asset identification string error detection can include receiving an asset identification string corresponding to an asset and aggregating data associated with the asset from multiple sources. The method can include creating one or more probabilistic tables linking the aggregated data to the asset and determining a likelihood that at least a portion of the asset identification string is correct based on the probabilistic tables. The method can indicate that the asset identification string includes an error when the likelihood is less than a selected threshold and otherwise indicate that the asset identification string is correct when the likelihood is greater than or equal to the selected threshold.

Systems and methods for asset identification string error detection and correction

A method for object identification using multiple images. The method includes training an object identification model. Training the model includes collecting a training images for each of a plurality of objects, labeling each of the plurality of training images with a corresponding one of a plurality of object identifiers, and training a neural network with the plurality of labeled training images. At least two target images of a target object are receive and fed into the trained object identification model. The method further includes receiving, from the trained object identification model, for each of the at least two target images, an object identifier corresponding to the target object and a probability that the object identifier corresponds to the target object. A similarity value between the at least two target images is computed and the probabilities for the at least two target images are combined in proportion to the similarity value.

Systems and methods for part identification and assessment using multiple images

The present disclosure is directed to systems and methods for updating asset ownership for telematics-enabled machinery. In some embodiments, the updating asset ownership system comprises asset entities that transmit telemetry data. A communication interface of the updating asset ownership system can receive the telemetry data. An asset ownership data store of the updating asset ownership system can be configured to store asset owner data that identify designated owners associated with the asset entities. An asset ownership comparator of the updating asset ownership system can process the received telemetry data. Based on the processing, the asset ownership comparator can update designated owners of asset entities stored in the asset ownership data store.

Updating asset ownership systems and methods

A method, apparatus, and computer program product are provided for detecting changes in road traffic conditions based on vehicle probe data. Methods may include: receiving a plurality of probe data points; map-matching probe data points of the plurality of probe apparatuses to road segments of a candidate road of a road networks; for a plurality of time epochs, cluster probe speeds map-matched to road segments of the candidate road according to a clustering algorithm; establishing centroid speeds corresponding to clusters of probe speeds; spatially grouping said road segments according to probe-to-cluster mapping; and providing a road traffic condition change message in response to a difference between centroid speeds along the candidate road exceeding a predefined threshold, where the road traffic condition change message includes at least information about said road segment groups that correspond to said clusters.

Growing community of inventors

Chicago, IL, United States of America

Daniela Radakovic