Pose estimation in robotics is often achieved using images from known and purposefully applied markers or fiducials taken by a monocular camera. This low-cost system architecture can provide accurate and precise pose estimation measurements.
Aug 23, 2022
Aug 24, 2022 · The encoding element is simple, can be produced using a consumer 3D printer and is fully scalable. The end-to-end implementation of the encoding ...
The end-to-end implementation of the encoding element proposed in this work significantly increases the pose estimation performance of existing planar ...
The encoding element is simple, can be produced using a consumer 3D printer and is fully scalable. The end-to-end implementation of the encoding element ...
A novel encoding element for robust pose estimation using planar fiducials. Published in. Frontiers in Robotics and AI, August 2022. DOI, 10.3389/frobt ...
A novel encoding element for robust pose estimation using planar fiducials · The Use of Multi-Scale Fiducial Markers To Aid Takeoff and Landing Navigation by ...
Pose estimation in robotics is often achieved using images from known and purposefully applied markers or fiducials taken by a monocular camera.
A novel encoding element for robust pose estimation using planar fiducials. Frontiers in Robotics and AI. doi 10.3389/frobt.2022.838128. 3,392 views; 2 ...
In square fiducial marker detection, the pose is computed using the four corners of the tag. Since the tags are planar, it is easy to compute perspective point ...
A novel encoding element for robust pose estimation using planar fiducials. David D. W. Rijlaarsdam, Martin Zwick, J.M. (Hans) Kuiper. https://doi.org/10.3389 ...