Ehorizon upgrader module, moving objects as ehorizon extension, sensor detected map data as ehorizon extension, and occupancy grid as ehorizon extension

US2022090939A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2022090939-A1
Application numberUS-202017420294-A
CountryUS
Kind codeA1
Filing dateJan 6, 2020
Priority dateJan 4, 2019
Publication dateMar 24, 2022
Grant date

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

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A method for providing vehicle information includes: receiving first vehicle data encoded according to a first protocol and corresponding to an environment external to a vehicle; receiving high definition mapping data corresponding to objects in the environment external to the vehicle; generating position information for objects indicated in the high definition mapping data by correlating locations of objects indicated by the high definition mapping data with objects in the environment external to the vehicle detected by at least one sensor; generating second vehicle data by correlating the high definition mapping data, the position information, and the first vehicle data; and encoding the second vehicle data according to a second protocol.

First claim

Opening claim text (preview).

We claim: 1 . A system for providing vehicle information, the system comprising: a processor; and a memory including instructions that, when executed by the processor, cause the processor to: receive first vehicle data encoded according to a first protocol and corresponding to an environment external to a vehicle; receive high definition mapping data corresponding to objects in the environment external to the vehicle; generate position information for objects indicated in the high definition mapping data by correlating locations of objects indicated by the high definition mapping data with objects in the environment external to the vehicle detected by at least one sensor; generate second vehicle data by correlating the high definition mapping data, the position information, and the first vehicle data; and encode the second vehicle data according to a second protocol. 2 . The system of claim 1 , wherein the first protocol corresponds to advanced driver assistance systems interface specifications version 2 protocol. 3 . The system of claim 1 , wherein the second protocol corresponds to advanced driver assistance systems interface specifications version 3 protocol. 4 . The system of claim 1 , wherein the first vehicle data includes one or more of geometry data, speed limit data, lane data, road curvature data, and road slope data. 5 . The system of claim 1 , wherein the second vehicle data includes the first vehicle data and one or more of object lane level accuracy data, longitudinal position data, latitudinal position data, and lane boundary data. 6 . The system of claim 1 , wherein the first vehicle data includes standard definition mapping data. 7 . The system of claim 1 , wherein the at least one sensor includes an image capturing device. 8 . The system of claim 1 , wherein the at least one sensor includes one of a LIDAR device, a radar device, an ultrasonic device, and a fusion device. 9 . A method for providing vehicle information, the method comprising: receiving first vehicle data encoded according to a first protocol and corresponding to an environment external to a vehicle; receiving high definition mapping data corresponding to objects in the environment external to the vehicle; generating position information for objects indicated in the high definition mapping data by correlating locations of objects indicated by the high definition mapping data with objects in the environment external to the vehicle detected by at least one sensor; generating second vehicle data by correlating the high definition mapping data, the position information, and the first vehicle data; and encoding the second vehicle data according to a second protocol. 10 . The method of claim 9 , wherein the first protocol corresponds to advanced driver assistance systems interface specifications version 2 protocol. 11 . The method of claim 9 , wherein the second protocol corresponds to advanced driver assistance systems interface specifications version 3 protocol. 12 . The method of claim 9 , wherein the first vehicle data includes one or more of geometry data, speed limit data, lane data, road curvature data, and road slope data. 13 . The method of claim 9 , wherein the second vehicle data includes the first vehicle data and one or more of object lane level accuracy data, longitudinal position data, latitudinal position data, and lane boundary data. 14 . The method of claim 9 , wherein the first vehicle data includes standard definition mapping data. 15 . The method of claim 9 , wherein the at least one sensor includes an image capturing device. 16 . The method of claim 9 , wherein the at least one sensor includes one of a LIDAR device, a radar device, an ultrasonic device, and a fusion device. 17 . An apparatus comprising: a processor; and a memory including instructions that, when executed by the processor, cause the processor to: receive standard defection vehicle data encoded according to a first protocol and corresponding to an environment external to a vehicle; receive high definition mapping data corresponding to objects in the environment external to the vehicle; generate position information for objects indicated in the high definition mapping data by correlating locations of objects indicated by the high definition mapping data with objects in the environment external to the vehicle detected by at least one sensor; generate high definition vehicle data by correlating the high definition mapping data, the position information. and the first vehicle data; determine a probable path for the vehicle using the high definition vehicle data; and encode the probable path according to a second protocol. 18 . The apparatus of claim 17 , wherein the first protocol corresponds to advanced driver assistance systems interface specifications version 2 protocol. 19 . The apparatus of claim 17 , wherein the second protocol corresponds to advanced driver assistance systems interface specifications version 3 protocol. 20 . The apparatus of claim 17 , wherein the instructions further cause the processor to store the probable path in a database.

Assignees

Inventors

Classifications

  • Instruments characterised by their location or relative disposition in or on vehicles (arrangements of lighting devices on dashboards B60Q3/10) · CPC title

  • characterised by the type of the output information, e.g. video entertainment or vehicle dynamics information; characterised by the purpose of the output information, e.g. for attracting the attention of the driver · CPC title

  • Arrangements for transferring vehicle- or driver-related data · CPC title

  • Display screens · CPC title

  • Head-up displays [HUD] (optical aspects of head-up displays G02B27/01) · CPC title

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What does patent US2022090939A1 cover?
A method for providing vehicle information includes: receiving first vehicle data encoded according to a first protocol and corresponding to an environment external to a vehicle; receiving high definition mapping data corresponding to objects in the environment external to the vehicle; generating position information for objects indicated in the high definition mapping data by correlating locat…
Who is the assignee on this patent?
Visteon Global Tech Inc
What technology area does this patent fall under?
Primary CPC classification B60W60/001. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Thu Mar 24 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).