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Search Results - yi+wang
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NOVEL FILTERS FOR IMAGE GRADIENT COMPUTATION AND EDGE DETECTION
Reference #: 1700 The University of South Carolina is offering licensing opportunities for Novel filters for image gradient computation and edge detection. Background: Gradient computation and edge determination are challenging yet crucial steps in many computer vision tasks. They are the first in multi-step processes, serving as the foundation for...
Published: 2/11/2026
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Inventor(s):
Yi Wang
,
Luke Bagan
Keywords(s):
Category(s):
Software and Computing
A low-cost indoor positioning system for robotics research and education
Reference #: 1705 The University of South Carolina is offering licensing opportunities for A low-cost indoor positioning system for robotics research and education. Background: Mobile robots are widely used in robotics research, education, and competition. Many applications require accurate, real-time knowledge of a robot’s position to support...
Published: 2/11/2026
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Inventor(s):
Yi Wang
,
Junlin Ou
Keywords(s):
Category(s):
Engineering and Physical Sciences
Portable Railroad Track Component Inspection System (no patent reimbursement in license)
Reference #: 01660 The University of South Carolina is offering licensing opportunities for Potable Railroad Track Component Inspection System Background: The Federal Railroad Administration (FRA) stipulates routine track inspections to maintain railroad safety and efficiency. However, conventional manual inspections are not only inefficient and...
Published: 1/20/2026
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Inventor(s):
Yu Qian
,
Yi Wang
Keywords(s):
Category(s):
Software and Computing
Autonomous Drone for railroad track inspection
Reference #: 01564 The University of South Carolina is offering licensing opportunities for Autonomous Drone for railroad track inspection Background: The current practices suffer from three main drawbacks: 1) Human pilot cost is significant. The schedule of the drone-based track inspection is contingent on the pilot’s availability rather than...
Published: 12/3/2025
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Inventor(s):
Yu Qian
,
Yi Wang
,
Chen Chen
Keywords(s):
autonomous drone
,
flight control
,
image processing
,
railroad track inspection
,
self-navigation
Category(s):
Engineering and Physical Sciences
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