Invention Grant
- Patent Title: Method for detecting trailer status using combined 3D algorithms and 2D machine learning models
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Application No.: US16788522Application Date: 2020-02-12
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Publication No.: US11436835B2Publication Date: 2022-09-06
- Inventor: Justin F. Barish , Jyotsna Prasad , Adithya H. Krishnamurthy
- Applicant: ZEBRA TECHNOLOGIES CORPORATION
- Applicant Address: US IL Lincolnshire
- Assignee: ZEBRA TECHNOLOGIES CORPORATION
- Current Assignee: ZEBRA TECHNOLOGIES CORPORATION
- Current Assignee Address: US IL Lincolnshire
- Agent Yuri Astvatsaturov
- Main IPC: G06V20/52
- IPC: G06V20/52 ; G06N20/00 ; G06T7/60 ; G06T7/11
Abstract:
Methods for determining a trailer status are disclosed herein. An example method includes capturing a three-dimensional image and a two-dimensional image. The three-dimensional image may comprise three-dimensional image data, and the two-dimensional image may comprise two-dimensional image data. The example method may further include determining a first trailer status based on the three-dimensional image data, and determining a second trailer status based on the two-dimensional image data. The example method may further include comparing the first trailer status to the second trailer status to determine a final trailer status.
Public/Granted literature
- US20210248381A1 Method for Detecting Trailer Status Using Combined 3D Algorithms and 2D Machine Learning Models Public/Granted day:2021-08-12
Information query
