Invention Grant
- Patent Title: Artificial neural network for lane feature classification and localization
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Application No.: US15837276Application Date: 2017-12-11
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Publication No.: US10528824B2Publication Date: 2020-01-07
- Inventor: Guangyu J. Zou
- 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: Lorenz & Kopf, LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G05D1/02 ; G06N3/08 ; B60W30/12 ; G06K9/62 ; G08G1/16

Abstract:
Systems and method are provided for controlling a vehicle. In one embodiment, a method of controlling a vehicle, includes receiving, via at least one processor, image data from each of plural cameras mounted on the vehicle. The method includes assembling, via the at least one processor, the image data from each of the plural cameras to form assembled image data. The method includes classifying and localizing lane features using an artificial neural network based on the assembled image data, to produce classified and localized lane data. The method includes performing, via the at least one processor, a data fusion process based on the classified and localized lane data, thereby producing fused lane feature data. The method includes controlling, via the at least one processor, the vehicle based, in part, on the fused lane feature data.
Public/Granted literature
- US20190180115A1 ARTIFICIAL NEURAL NETWORK FOR LANE FEATURE CLASSIFICATION AND LOCALIZATION Public/Granted day:2019-06-13
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