Palantir technologies inc. (20240378733). SYSTEMS AND METHODS FOR VISUAL NAVIGATION simplified abstract
Contents
SYSTEMS AND METHODS FOR VISUAL NAVIGATION
Organization Name
Inventor(s)
Joseph Adam Driscoll of Bentleyville OH (US)
Ethan Van Andel of Berkeley CA (US)
Mary Cameron of Washington DC (US)
Miles Sackler of Seattle WA (US)
Stephen Ramsey of Mountain View CA (US)
SYSTEMS AND METHODS FOR VISUAL NAVIGATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240378733 titled 'SYSTEMS AND METHODS FOR VISUAL NAVIGATION
The patent application describes systems and methods for visual navigation using video frames from an image sensor on an aircraft.
- Receiving video frames from an image sensor on an aircraft
- Generating an image-based transform based on the video frames
- Determining image-based motion associated with the aircraft
- Generating a georegistration transform based on video frames and a reference image
- Determining georegistration-based geolocation associated with the aircraft
- Determining aircraft geolocation using a non-linear Kalman filter
Potential Applications: - Autonomous navigation systems for aircraft - Surveillance and reconnaissance missions - Search and rescue operations
Problems Solved: - Enhancing accuracy and efficiency of aircraft navigation - Improving geolocation capabilities in real-time scenarios
Benefits: - Increased precision in determining aircraft location - Enhanced situational awareness for pilots and operators - Improved safety and reliability in navigation systems
Commercial Applications: Title: Advanced Visual Navigation Systems for Aircraft This technology can be utilized in commercial aviation, military operations, drone delivery services, and aerial photography industries. It can revolutionize the way aircraft navigate and gather geospatial data.
Prior Art: Researchers and developers in the field of computer vision, aerial robotics, and geospatial technology may have explored similar concepts in visual navigation systems for aircraft. Investigating patents related to image-based transforms, georegistration techniques, and Kalman filtering could provide valuable insights into prior art.
Frequently Updated Research: Stay updated on advancements in computer vision algorithms, sensor technologies, and geospatial mapping techniques to enhance the performance and capabilities of visual navigation systems for aircraft.
Questions about Visual Navigation Systems for Aircraft: 1. How does the use of image-based transforms improve the accuracy of aircraft navigation? 2. What are the key challenges in implementing real-time georegistration techniques for aircraft visual navigation systems?
Original Abstract Submitted
systems and methods for visual navigation are provided. an example method includes receiving a plurality of video frames from an image sensor disposed on an aircraft, and generating an image-based transform based on the plurality of video frames. in some examples, the image-based transform is associated with a movement of one or more image features and a movement of the image sensor. in some examples, the method further includes: determining an image-based motion associated with the aircraft based on the image-based transform, generating a georegistration transform based on at least one video frame of the plurality of video frames and a reference image, determining a georegistration-based geolocation associated with the aircraft based on the georegistration transform, and determining an aircraft geolocation by applying a non-linear kalman filter to the image-based motion and the georegistration-based geolocation,
