Invention Grant
- Patent Title: Use of HCNN to predict lane lines types
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Application No.: US17245038Application Date: 2021-04-30
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Publication No.: US11887381B2Publication Date: 2024-01-30
- Inventor: Iyad Faisal Ghazi Mansour , Akhil Umat
- Applicant: NEW EAGLE, LLC
- Applicant Address: US MI Ann Arbor
- Assignee: New Eagle, LLC
- Current Assignee: New Eagle, LLC
- Current Assignee Address: US MI Ann Arbor
- Agency: Vivacqua Crane PLLC
- Main IPC: G06V20/56
- IPC: G06V20/56 ; B60R11/04 ; G06N3/08 ; G06N3/045

Abstract:
A method of predicting lane line types utilizing a heterogeneous convolutional neural network (HCNN) includes capturing an input image with one or more optical sensors disposed on a host member, passing the input image through the HCNN, the HCNN having at least three distinct sub-networks, the three distinct sub-networks: predicting object locations in the input image with a first sub-network; predicting lane line locations in the input image with a second sub-network; and predicting lane line types for each predicted lane line in the input image with a third sub-network.
Public/Granted literature
- US20220350992A1 THE USE OF HCNN TO PREDICT LANE LINES TYPES Public/Granted day:2022-11-03
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