Here Global B.v.

Akos Nagy

Olivier Dousse

Tadej Stajner

Muhammad Kashif Kaleem

A plurality of instances of probe data are received and used to generate a plurality of probe trajectories. A set of selected probe trajectories is defined using spatial familiarity sampling wherein a familiarity score is determined for each instance of probe data of a probe trajectory based on a familiarity model corresponding to already selected probe trajectories. A least familiar familiarity score for a probe trajectory is identified from the familiarity scores determined for the probe trajectory and a determination of whether the probe trajectory is included in the set of selected probe trajectories is performed based on the least familiar familiarity score for the probe trajectory. Only the probe trajectories of the set of selected probe trajectories are map-matched. The map-matched probe trajectories are then used to generate traffic and/or map information/data which is provided to consumer apparatuses for use in performing navigation functions, for example.

Trajectory sampling using spatial familiarity

A method, apparatus, and computer program product are provided to reduce redundant data uploads, the method includes, for example, providing a collection indicator for a specific data type on a given road. The method further includes separating a plurality of data points for the specific data type collected during travel of a vehicle along the given road into a transmission group of data points and a non-transmission group of data points. The separating of the plurality of data points may be done by determining an amount of data points to be included in the transmission group by applying the collection indicator to the plurality of data points for the specific data type that are collected during travel of the vehicle along the given road. The method still further includes causing the transmission of the transmission group of data points.

Growing community of inventors

Kaatsheuvel, Netherlands

Akos Nagy