Invention Grant
- Patent Title: Crowd-sensed point cloud map
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Application No.: US15903616Application Date: 2018-02-23
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Publication No.: US10529089B2Publication Date: 2020-01-07
- Inventor: Fawad Ahmad , Hang Qiu , Fan Bai , Ramesh Govindan
- Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC , UNIVERSITY OF SOUTHERN CALIFORNIA
- Applicant Address: US MI Detroit US CA Los Angeles
- Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC,UNIVERSITY OF SOUTHERN CALIFORNIA
- Current Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC,UNIVERSITY OF SOUTHERN CALIFORNIA
- Current Assignee Address: US MI Detroit US CA Los Angeles
- Agency: Lorenz & Kopf, LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/73 ; G06T7/33 ; G05D1/02

Abstract:
Systems and method are provided for controlling an autonomous vehicle. In one embodiment, a method includes: receiving sensor data from a sensor of the vehicle; determining a three dimensional point cloud map segment from the sensor data; determining a vehicle pose associated with the three-dimensional point cloud map segment; determining a pose difference based on the vehicle pose, another vehicle pose, and a two-step process, wherein the two-step process includes computing a coarse-granularity pose difference, and computing a fine-granularity pose difference; aligning the three dimensional point cloud map segment with another three dimensional point cloud map segment associated with the other vehicle pose based on the pose difference; and controlling the vehicle based on the aligned three dimensional point cloud map segments.
Public/Granted literature
- US20190266748A1 CROWD-SENSED POINT CLOUD MAP Public/Granted day:2019-08-29
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