Invention Grant
- Patent Title: Map and environment based activation of neural networks for highly automated driving
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Application No.: US15864355Application Date: 2018-01-08
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Publication No.: US10586132B2Publication Date: 2020-03-10
- Inventor: Markus Schäfer , Thorsten Wilmer , Martin Pfeifle
- Applicant: Visteon Global Technologies, Inc.
- Applicant Address: US MI Van Buren Township
- Assignee: Visteon Global Technologies, Inc.
- Current Assignee: Visteon Global Technologies, Inc.
- Current Assignee Address: US MI Van Buren Township
- Agency: Dickinson Wright PLLC
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/66 ; G06K9/62 ; G06K9/78 ; G06N3/04 ; G06N3/08 ; G06F16/583 ; G05D1/02

Abstract:
A system and method for highly automated driving of a vehicle to detect and classify pedestrians and traffic signs and other vehicles are provided. The system includes an on-vehicle camera for receiving image data. A location determining module is also on the vehicle to determine a location of the vehicle and a vehicle memory unit on the vehicle storing at least one particularized convolutional neural networks to process the image data. A vehicle processor is communicatively coupled to the vehicle memory unit and the camera and the location determining module and is configured to collect vehicle location data with the location determining module. The vehicle processor is also configured to process the image data using the at least one particularized convolutional neural network based the vehicle location data and environmental conditions around the vehicle to detect and classify pedestrians and traffic signs and other vehicles.
Public/Granted literature
- US20190213451A1 MAP AND ENVIRONMENT BASED ACTIVATION OF NEURAL NETWORKS FOR HIGHLY AUTOMATED DRIVING Public/Granted day:2019-07-11
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