Method of updating map in fusion slam and robot implementing same
US-2023161356-A1 · May 25, 2023 · US
System and method of collaboratively refining high definition maps for autonomous parking of a vehicle
US2023228591A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023228591-A1 |
| Application number | US-202217575919-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jan 14, 2022 |
| Priority date | Jan 14, 2022 |
| Publication date | Jul 20, 2023 |
| Grant date | — |
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Abstract
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A computer-implemented method of refining a high definition (HD) map of a parking lot for autonomous vehicle parking (AVP) is disclosed. The method including: a vehicle navigating in the parking lot using the HD map; the vehicle using one or more sensors to scan for objects in the parking lot; the vehicle augmenting the HD map using a simultaneous localization & mapping SLAM method; adding objects detected by the one or more sensors to the HD map; and contributing towards improving a learning score of the HD map.
First claim
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What is claimed is: 1 . A computer-implemented method of refining a high definition (HD) map of a parking lot for autonomous vehicle parking (AVP), the method comprising: a vehicle navigating in the parking lot using the HD map; the vehicle using one or more sensors to scan for objects in the parking lot; the vehicle augmenting the HD map using a simultaneous localization & mapping SLAM method; adding objects detected by the one or more sensors to the HD map; and contributing towards improving a learning score of the HD map. 2 . The computer-implemented method of claim 1 , wherein the HD map having a learning score associated with an accuracy of the HD map. 3 . The computer-implemented method of claim 1 , further comprising uploading to a remote server the HD map after objects are added to the HD map. 4 . A computer-implemented method of improving an accuracy of a HD map of a parking lot, the method comprising: initialize a learning score of the HD map; transmitting the HD map to a plurality of vehicles configured to augment the HD map; receiving an augmented HD map from each of the plurality of vehicles; updating the HD map with information from the augmented HD maps; and adjusting the learning score of the HD map in response to the information from the augmented HD maps. 5 . The computer-implemented method of claim 4 , wherein the plurality of vehicles are configured to augment the HD map using a simultaneous localization & mapping (SLAM) method. 6 . The computer-implemented method of claim 4 , wherein adjusting the learning score of the HD map in response to the information from the augmented HD maps comprises increasing the learning score if the information from the augmented HD maps is consistent. 7 . The computer-implemented method of claim 4 , wherein adjusting the learning score of the HD map in response to the information from the augmented HD maps comprises decreasing the learning score if the information from the plurality of HD maps contradict each other. 8 . A vehicle comprising: one or more sensors configured to detect objects in a parking lot; a communication module configured to transmit and receive a high definition map; a processor; and a non-transitory storage configured to store instructions, which when executed by the processor, cause the processor to perform a method comprising: navigating the vehicle in a parking lot using the HD map; using the one or more sensors to scan for objects in the parking lot; augmenting the HD map using a simultaneous localization & mapping (SLAM) method; adding objects detected by the one or more sensors to the HD map; and contributing towards improving a learning score of the HD map.
Assignees
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Classifications
- G01C21/3804Primary
Creation or updating of map data · CPC title
Data obtained from both position sensors and additional sensors · CPC title
Data obtained from two or more sources, e.g. probe vehicles · CPC title
- G01C21/3807Primary
characterised by the type of data · CPC title
Transmission of map data to client devices; Reception of map data by client devices · CPC title
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- What does patent US2023228591A1 cover?
- A computer-implemented method of refining a high definition (HD) map of a parking lot for autonomous vehicle parking (AVP) is disclosed. The method including: a vehicle navigating in the parking lot using the HD map; the vehicle using one or more sensors to scan for objects in the parking lot; the vehicle augmenting the HD map using a simultaneous localization & mapping SLAM method; adding obje…
- Who is the assignee on this patent?
- Faraday&Future Inc
- What technology area does this patent fall under?
- Primary CPC classification G01C21/3804. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Thu Jul 20 2023 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 6 related publications on this page (citations in our corpus or others sharing the same primary CPC).