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US Patent 9251708 Forward collision warning trap and pedestrian advanced warning system

Patent 9251708 was granted and assigned to Mobileye on February, 2016 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Current Assignee
Mobileye
Mobileye
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
92517081
Patent Inventor Names
Dan Rosenbaum1
Gideon Stein1
Amiad Gurman1
Date of Patent
February 2, 2016
1
Patent Application Number
133132271
Date Filed
December 7, 2011
1
Patent Citations Received
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US Patent 12122398 Monitoring system for autonomous vehicle operation
2
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US Patent 11972690 Platooning method, apparatus and system of autonomous driving platoon
3
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US Patent 11983008 System and method for using human driving patterns to manage speed control for autonomous vehicles
4
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US Patent 12007778 Neural network based vehicle dynamics model
5
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US Patent 12071101 Real-time remote control of vehicles with high redundancy
6
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US Patent 12073324 System and method for vehicle taillight state recognition
7
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US Patent 12077024 Angle and orientation measurements for vehicles with multiple drivable sections
8
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US Patent 11673557 System and method for path planning of autonomous vehicles based on gradient
9
...
Patent Primary Examiner
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Sat V Perungavoor
1
Patent abstract

A method for providing a forward collision warning using a camera mountable in a motor vehicle. The method acquires multiple image frames at known time intervals. A patch may be selected in at least one of the image frames. Optical flow may be tracked between the image frames of multiple image points of the patch. Based on the fit of the image points to a model, a time-to collision (TTC) may be determined if a collision is expected. The image points may be fit to a road surface model and a portion of the image points is modeled to be imaged from a road surface. A collision is not expected based on the fir of the image points to the road surface model.

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