Automated vehicle map localization based on observed geometries of roadways

US10289115B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10289115-B2
Application numberUS-201715611337-A
CountryUS
Kind codeB2
Filing dateJun 1, 2017
Priority dateJun 1, 2017
Publication dateMay 14, 2019
Grant dateMay 14, 2019

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A map-localization system for navigating an automated vehicle includes a path-detector, a digital-map, and a controller. The path-detector is used to detect observed-geometries of a roadway traveled by a host-vehicle. The digital-map indicates mapped-geometries of roadways available for travel by the host-vehicle. The controller is in communication with the path-detector and the digital-map. The controller is configured to determine a location of the host-vehicle on the digital-map based on a comparison of the observed-geometries to the mapped-geometries.

First claim

Opening claim text (preview).

We claim: 1. A map-localization system for navigating an automated vehicle, said system comprising: a path-detector that detects observed-geometries of a roadway traveled by a host-vehicle, wherein the observed-geometries include road-heading, road-curvature, road-width, intersection-headings, intersection-spacing, cul-de-sac-length, and cul-de-sac-heading; a digital-map that indicates mapped-geometries of roadways available for travel by the host-vehicle; and a controller in communication with the path-detector and the digital-map, said controller configured to determine a location of the host-vehicle on the digital-map based on a comparison of the observed-geometries to the mapped-geometries. 2. The system in accordance with claim 1 , wherein the path-detector detects relative-positions of observed-objects, the digital-map indicates mapped-positions of mapped-objects proximate to the roadways available for travel by the host-vehicle, and the controller is further configured to determine the location of the host-vehicle on the digital-map based on a comparison of the relative-positions to the mapped-positions. 3. The system in accordance with claim 2 , wherein the relative-positions of the observed-objects are characterized by a distance-between-objects, a heading-between-objects, and a distance-from-roadway.

Assignees

Inventors

Classifications

  • using satellite positioning signals, e.g. GPS · CPC title

  • comprising intertial navigation means, e.g. azimuth detector (inertial navigation G01C21/16; inertial navigation combined with non-inertial navigation instruments G01C21/165) · CPC title

  • G05D1/0088Primary

    characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours (using knowledge based models G06N5/00) · CPC title

  • using a radar (radar systems designed for anti-collision purposes between land vehicles or between land vehicle and fixed obstacles G01S13/931) · CPC title

  • using a video camera in combination with image processing means · CPC title

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What does patent US10289115B2 cover?
A map-localization system for navigating an automated vehicle includes a path-detector, a digital-map, and a controller. The path-detector is used to detect observed-geometries of a roadway traveled by a host-vehicle. The digital-map indicates mapped-geometries of roadways available for travel by the host-vehicle. The controller is in communication with the path-detector and the digital-map. Th…
Who is the assignee on this patent?
Aptiv Tech Ltd
What technology area does this patent fall under?
Primary CPC classification G05D1/0088. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue May 14 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).