Invention Grant
- Patent Title: Scalable graph SLAM for HD maps
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Application No.: US16971413Application Date: 2019-02-22
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Publication No.: US11892297B2Publication Date: 2024-02-06
- Inventor: Naveen Ramakrishnan , Sauptik Dhar , Jeff Irion
- Applicant: Robert Bosch GmbH
- Applicant Address: DE Stuttgart
- Assignee: Robert Bosch GmbH
- Current Assignee: Robert Bosch GmbH
- Current Assignee Address: DE Stuttgart
- Agency: Maginot, Moore & Beck LLP
- International Application: PCT/EP2019/054467 2019.02.22
- International Announcement: WO2019/162452A 2019.08.29
- Date entered country: 2020-08-20
- Main IPC: G01C21/00
- IPC: G01C21/00 ; G01C21/20 ; G06F16/13 ; G06F17/12

Abstract:
A method of solving a graph simultaneous localization and mapping (graph SLAM) for HD maps using a computing system includes partitioning a graph into a plurality of subgraphs, each of the subgraphs having all of the vertices of the graph and a subset of the edges of the graph. Constrained and non-constrained vertices are defined for the subgraphs. An alternating direction method of multipliers (ADMM) formulation for Graph SLAM is defined using the partitioned graph. A distributed Graph SLAM algorithm is then defined in terms of the constrained and non-constrained vertices based on the ADMM formulation. The distributed Graph SLAM algorithm is then used to solve the Graph SLAM problem for HD maps.
Public/Granted literature
- US20210003398A1 Scalable Graph SLAM for HD Maps Public/Granted day:2021-01-07
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