Nvidia corporation (20240119701). HARDWARE-BASED FEATURE TRACKER FOR AUTONOMOUS SYSTEMS AND APPLICATIONS simplified abstract
Contents
- 1 HARDWARE-BASED FEATURE TRACKER FOR AUTONOMOUS SYSTEMS AND APPLICATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 HARDWARE-BASED FEATURE TRACKER FOR AUTONOMOUS SYSTEMS AND APPLICATIONS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
HARDWARE-BASED FEATURE TRACKER FOR AUTONOMOUS SYSTEMS AND APPLICATIONS
Organization Name
Inventor(s)
Zoran Nikolic of Sugarland TX (US)
Eric Viscito of Shelburne VT (US)
HARDWARE-BASED FEATURE TRACKER FOR AUTONOMOUS SYSTEMS AND APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240119701 titled 'HARDWARE-BASED FEATURE TRACKER FOR AUTONOMOUS SYSTEMS AND APPLICATIONS
Simplified Explanation
The abstract describes techniques for using hardware feature trackers in autonomous or semi-autonomous systems. The systems use a processor to determine flow vectors associated with pixel locations in a first image and to determine the location of a feature point in a second image based on the flow vectors and subpixel location of the feature point in the first image. An optical flow accelerator (OFA) and a vision processor are used in some examples to perform these tasks.
- Hardware feature trackers used in autonomous or semi-autonomous systems
- Processor determines flow vectors and feature point location in images
- Optical flow accelerator (OFA) and vision processor may be utilized
Potential Applications
The technology can be applied in various fields such as:
- Autonomous vehicles
- Robotics
- Surveillance systems
Problems Solved
The technology helps in:
- Improving accuracy of feature tracking
- Enhancing performance of autonomous systems
- Increasing efficiency of image processing tasks
Benefits
The benefits of this technology include:
- Enhanced navigation capabilities
- Improved object tracking
- Increased reliability of autonomous systems
Potential Commercial Applications
The technology can be commercially applied in:
- Automotive industry
- Security and surveillance sector
- Industrial automation
Possible Prior Art
One possible prior art for this technology could be the use of optical flow algorithms in computer vision systems to track features in images.
What are the specific hardware components used in the system described in the abstract?
The abstract mentions the use of an optical flow accelerator (OFA) and a vision processor as hardware components. These components are utilized to determine flow vectors and feature point locations in images.
How does the technology improve the accuracy of feature tracking in autonomous systems?
The technology improves the accuracy of feature tracking in autonomous systems by using hardware feature trackers and processors to determine flow vectors and feature point locations in images. This allows for more precise tracking of objects and improved navigation capabilities.
Original Abstract Submitted
in various examples, techniques for using hardware feature trackers in autonomous or semi-autonomous systems are described. systems and methods are disclosed that use a processor(s) to determine flow vectors associated with pixel locations in a first image. the systems also use the processor(s) to determine a location of a feature point in a second image based at least on one or more of the flow vectors and a subpixel location of the feature point in the first image. in some examples, the processor(s) may include an optical flow accelerator (ofa) that includes a hardware unit storing a lookup table that is used to determine the location of the feature point in the second image. in some examples, the processor(s) may include an ofa to determine the flow vectors and a vision processor to determine the location of the feature point in the second image.
