- Patent Title: Three-dimensional map inconsistency detection using neural network
-
Application No.: US16897145Application Date: 2020-06-09
-
Publication No.: US11328182B2Publication Date: 2022-05-10
- Inventor: Lukas Gruber , Christoph Vogel , Ondrej Miksik , Marc Andre Leon Pollefeys
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Alleman Hall Creasman & Tuttle LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/00 ; G06N3/04 ; G06N3/08 ; G06T19/00

Abstract:
A three-dimensional (3D) map inconsistency detection machine includes an input transformation layer connected to a neural network. The input transformation layer is configured to 1) receive a test 3D map including 3D map data modeling a physical entity, 2) transform the 3D map data into a set of 2D images collectively corresponding to volumes of view frustums of a plurality of virtual camera views of the physical entity modeled by the test 3D map, and 3) output the set of 2D images to the neural network. The neural network is configured to output an inconsistency value indicating a degree to which the test 3D map includes inconsistencies based on analysis of the set of 2D images collectively corresponding to the volumes of the view frustums of the plurality of virtual camera views.
Public/Granted literature
- US20210383172A1 THREE-DIMENSIONAL MAP INCONSISTENCY DETECTION USING NEURAL NETWORK Public/Granted day:2021-12-09
Information query