Invention Grant
- Patent Title: Topological basemodel supporting improved conflation and stable feature identity
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Application No.: US17251071Application Date: 2020-03-02
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Publication No.: US11544299B2Publication Date: 2023-01-03
- Inventor: Christine McGavran , Richard William Bukowski , Bryan Klingner , Joakim Kristian Olle Arfvidsson , Andrew Lookingbill
- Applicant: Google LLC , Christine McGavran , Richard William Bukowski , Bryan Klingner , Joakim Kristian Olle Arfvidsson , Andrew Lookingbill
- Applicant Address: US CA Mountain View; US CA Pacifica; US CA Palo Alto; US TX Austin; US CA Los Altos; US CA Palo Alto
- Assignee: Google LLC,Christine McGavran,Richard William Bukowski,Bryan Klingner,Joakim Kristian Olle Arfvidsson,Andrew Lookingbill
- Current Assignee: Google LLC,Christine McGavran,Richard William Bukowski,Bryan Klingner,Joakim Kristian Olle Arfvidsson,Andrew Lookingbill
- Current Assignee Address: US CA Mountain View; US CA Pacifica; US CA Palo Alto; US TX Austin; US CA Los Altos; US CA Palo Alto
- Agency: Dority & Manning, P.A.
- International Application: PCT/US2020/020618 WO 20200302
- International Announcement: WO2021/177934 WO 20210910
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/29 ; G06F16/22

Abstract:
The present disclosure is directed to systems and methods for providing a stable topological representation of pathway networks as well as features associated with these networks. The disclosure is exemplified using road networks which have applications in mapping, navigation, and autonomous vehicles. Extensions may be learned through practice of the disclosure. Utilizing implementations disclosed herein may provide advantages for data conflation between different mapping systems and map data while improving overall stability by developing a common reference standard that is tied to semantic features rather than abstract geographic representations.
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