公开(公告)号：US20220172612A1

公开(公告)日：2022-06-02

申请号：US17110041

申请日：2020-12-02

Applicant: HERE Global B.V.

Inventor： Amarnath NAYAK ,  Leon STENNETH ,  Alex AVERBUCH

IPC: G08G1/056 ,  G08G1/01 ,  B60W50/14

Abstract: A system, a method, and a computer program product are disclosed for detecting a driving direction. The system may include: a memory to store computer-executable instructions; and one or more processors to execute the instructions to receive sensor data associated with a plurality of locations and determine trajectory data associated with the plurality of locations based on the sensor data and map data. Further, the one or more processors may execute the instructions to identify, based on the trajectory data, a set of unmatched locations from the plurality of locations. The set of unmatched locations comprises at least a first predetermined number of unmatched locations. Furthermore, the one or more processors may execute the instructions to detect the driving direction based on the set of unmatched locations and the map data.

公开(公告)号：US20200167575A1

公开(公告)日：2020-05-28

申请号：US16203239

申请日：2018-11-28

Applicant: HERE GLOBAL B.V.

Inventor： Amarnath NAYAK ,  Leon STENNETH ,  Alex AVERBUCH

IPC: G06K9/00 ,  G01C21/32 ,  G05D1/02 ,  H04W4/44 ,  G06N20/00

Abstract: A method is provided for prediction of a physical divider on a road. The method comprises retrieving vehicular sensor data, map data, or a combination thereof captured over a predefined period of time for at least one segment of the road. The method further comprises aggregating the respective vehicular sensor data, map data, or the combination thereof for the at least one segment of the road to generate one or more aggregated values. The method further comprises generating output data corresponding to presence of the physical divider in the at least one segment of the road by a machine learning model based on the one or more aggregated values as an input to the machine learning model.