18254182. CAMERA REGISTRATION VIA ROBOT simplified abstract (Intel Corporation)

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CAMERA REGISTRATION VIA ROBOT

Organization Name

Intel Corporation

Inventor(s)

Xuesong Shi of Beijing (CN)

Yujie Wang of Beijing (CN)

Zhigang Wang of Beijing (CN)

Peng Wang of Beijing (CN)

Robert Watts of El Dorado Hills CA (US)

CAMERA REGISTRATION VIA ROBOT - A simplified explanation of the abstract

This abstract first appeared for US patent application 18254182 titled 'CAMERA REGISTRATION VIA ROBOT

Simplified Explanation

The disclosure provides techniques for registering a camera into a map via a robot. A method for registering a camera into a map may include: collecting an observation of a calibration marker from an image captured by the camera, the calibration marker being attached to a robot capable of moving in a view of the camera; calculating, for the observation of the calibration marker, a transform T (camera, marker) between a camera frame of the camera and a marker frame of the calibration marker; obtaining, for the observation of the calibration marker, a transform T (world, robot) between a world frame of the map and a robot frame of the robot; and performing, when more than a predetermined number of observations of the calibration marker are collected during movement of the robot, a calibration process to calculate a transform T(world, camera) between the world frame and the camera frame based on the transform T (camera, marker) and the transform T(world, robot) for each observation of the calibration marker.

  • Collect observation of a calibration marker from an image captured by the camera
  • Calculate transform between camera frame and marker frame of the calibration marker
  • Obtain transform between world frame of the map and robot frame of the robot
  • Perform calibration process to calculate transform between world frame and camera frame

Potential Applications

This technology can be applied in robotics, autonomous navigation systems, and augmented reality applications.

Problems Solved

This technology solves the problem of accurately registering a camera into a map using a robot, improving the overall mapping and localization accuracy.

Benefits

The benefits of this technology include enhanced mapping precision, improved robot navigation capabilities, and increased efficiency in augmented reality applications.

Potential Commercial Applications

"Robot-Assisted Camera Mapping Technology for Enhanced Navigation and Localization"

Possible Prior Art

There may be prior art related to camera calibration techniques, robot-assisted mapping systems, and augmented reality technologies.

Unanswered Questions

How does this technology handle dynamic environments where the calibration marker may move or change position?

The method described in the abstract does not address how the system adapts to changes in the calibration marker's position or movement during the mapping process.

What are the limitations of using a robot for camera registration in terms of scalability and real-time applications?

The abstract does not provide information on the scalability of the system or its real-time performance in dynamic environments.


Original Abstract Submitted

The disclosure provides techniques for registering a camera into a map via a robot. A method for registering a camera into a map may include: collecting an observation of a calibration marker from an image captured by the camera, the calibration maker being attached to a robot capable of moving in a view of the camera; calculating, for the observation of the calibration marker, a transform T (camera, marker) between a camera frame of the camera and a marker frame of the calibration marker; obtaining, for the observation of the calibration marker, a transform T (world, robot) between a world frame of the map and a robot frame of the robot; and performing, when more than a predetermined number of observations of the calibration marker are collected during movement of the robot, a calibration process to calculate a transform T(world, camera) between the world frame and the camera frame based on the transform T (camera, marker) and the transform T(world, robot) for each observation of the calibration marker.