Invention Grant
- Patent Title: Method, apparatus, and system for traffic sign learning
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Application No.: US15957518Application Date: 2018-04-19
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Publication No.: US10762364B2Publication Date: 2020-09-01
- Inventor: Leon Stenneth , Sebastian Zaba , Zhenhua Zhang , Lakshmi Nookala , Prashant Chauhan , Pradeepa Kavindapadi Nagarajan , Yu Yang Bai
- 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: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06F16/29 ; G06F16/35

Abstract:
An approach is provided for traffic sign learning. The approach involves, for example, receiving a plurality of traffic sign observations generated using sensor data collected from a plurality of vehicles. Each of the plurality of traffic sign observations includes location data and sign property data for an observed traffic sign corresponding to said each of the plurality of traffic sign observations. The approach also involves clustering the plurality of traffic speed sign observations into at least one cluster based on the location data and the sign property data. The approach further involves determining a learned sign for the at least one cluster, and determining a learned sign value indicated by the learned sign based on the location data, the sign property data, or a combination of the plurality of traffic sign observations aggregated in the at least one cluster.
Public/Granted literature
- US20190325235A1 METHOD, APPARATUS, AND SYSTEM FOR TRAFFIC SIGN LEARNING Public/Granted day:2019-10-24
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