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US Patent 9317776 Robust static and moving object detection system via attentional mechanisms

Patent 9317776 was granted and assigned to Hrl Laboratories, Llc on April, 2016 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Patent Applicant
Hrl Laboratories, Llc
Hrl Laboratories, Llc
Current Assignee
Hrl Laboratories, Llc
Hrl Laboratories, Llc
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9317776
Patent Inventor Names
Changsoo S. Jeong0
Kyungnam Kim0
Lei Zhang0
Shinko Y. Cheng0
Yang Chen0
Deepak Khosla0
Alexander L Honda0
Date of Patent
April 19, 2016
Patent Application Number
14205349
Date Filed
March 11, 2014
Patent Citations Received
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US Patent 12122398 Monitoring system for autonomous vehicle operation
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US Patent 11935210 System and method for fisheye image processing
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US Patent 11948082 System and method for proximate vehicle intention prediction for autonomous vehicles
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US Patent 11958473 System and method for using human driving patterns to detect and correct abnormal driving behaviors of autonomous vehicles
0
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US Patent 11967140 System and method for vehicle wheel detection
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US Patent 11972690 Platooning method, apparatus and system of autonomous driving platoon
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US Patent 11983008 System and method for using human driving patterns to manage speed control for autonomous vehicles
0
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US Patent 12007778 Neural network based vehicle dynamics model
0
...
Patent Primary Examiner
‌
Bhavesh Mehta
Patent abstract

Described, is a system for object detection via multi-scale attentional mechanisms. The system receives a multi-band image as input. Anti-aliasing and downsampling processes are performed to reduce the size of the multi-band image. Targeted contrast enhancement is performed on the multi-band image to enhance a target color of interest. A response map for each target color of interest is generated, and each response map is independently processed to generate a saliency map. The saliency map is converted into a set of detections representing potential objects of interest, wherein each detection is associated with parameters, such as position parameters, size parameters, an orientation parameter, and a score parameter. A post-processing step is applied to filter out false alarm detections in the set of detections, resulting in a final set of detections. Finally, the final set of detections and their associated parameters representing objects of interest is output.

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