Invention Grant
- Patent Title: Scan matching and radar pose estimator for an autonomous vehicle based on hyper-local submaps
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Application No.: US17511942Application Date: 2021-10-27
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Publication No.: US12061255B2Publication Date: 2024-08-13
- Inventor: Kamran Ali , Wende Zhang , Fan Bai
- Applicant: GM Global Technology Operations LLC
- Applicant Address: US MI Detroit
- Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Current Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Current Assignee Address: US MI Detroit
- Agency: Vivacqua Crane, PLLC
- Main IPC: G01S13/931
- IPC: G01S13/931 ; B60W50/00 ; B60W60/00 ; G01S13/89

Abstract:
A scan matching and radar pose estimator for determining a final radar pose for an autonomous vehicle includes an automated driving controller that is instructed to determine a hyper-local submap based on a predefined number of consecutive aggregated filtered data point cloud scans and associated pose estimates. The automated driving controller determines an initial estimated pose by aligning a latest aggregated filtered data point cloud scan with the most recent hyper-local submap based on an iterative closest point (ICP) alignment algorithm. The automated driving controller determines a pose graph based on the most recent hyper-local submap and neighboring radar point cloud scans, and executes a multi-view non-linear ICP algorithm to adjust initial estimated poses corresponding to the neighboring radar point cloud scans in a moving window fashion to determine a locally adjusted pose.
Public/Granted literature
- US20230126333A1 SCAN MATCHING AND RADAR POSE ESTIMATOR FOR AN AUTONOMOUS VEHICLE BASED ON HYPER-LOCAL SUBMAPS Public/Granted day:2023-04-27
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