Invention Grant
- Patent Title: Method and apparatus for providing a machine learning approach for a point-based map matcher
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Application No.: US16049406Application Date: 2018-07-30
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Publication No.: US10281285B2Publication Date: 2019-05-07
- Inventor: Qin Chen , Jaime Ballesteros
- Applicant: HERE GLOBAL B.V.
- Applicant Address: NL Eindhoven
- Assignee: HERE Global B.V.
- Current Assignee: HERE Global B.V.
- Current Assignee Address: NL Eindhoven
- Agency: Ditthavong & Steiner, P.C.
- Main IPC: G01C21/00
- IPC: G01C21/00 ; G01C21/32 ; G06N7/00 ; G06N20/00 ; G06F16/29 ; G06N5/00

Abstract:
An approach is provided for point-based map matchers using machine learning. The approach involves retrieving points collected within proximity to a map feature represented by a link of a geographic database. The probe points are collected from sensors of devices traveling near the map feature. The approach also involves determining a probe feature set for each probe point comprising probe attribute values, and determining a link feature set for the link comprising link attribute values. The apparatus further involves classifying, using a machine learning classifier, each probe point to determine a matching probability based on the probe feature set and the link feature to indicate a probability that each probe point is classified as map-matched to the link. The machine learning classifier is trained using ground truth data comprising reference probe points with known map-matches to respective reference links, and comprising known probe attribute values and known link attribute values.
Public/Granted literature
- US20180335307A1 METHOD AND APPARATUS FOR PROVIDING A MACHINE LEARNING APPROACH FOR A POINT-BASED MAP MATCHER Public/Granted day:2018-11-22
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