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  1. The relative pose error is computed in a similar manner to the absolute pose error, based on the deviation between the ground truth and estimated relative poses. It is typically measured in [m/s] and [degree/s] (for translation and rotation, respectively), capturing the drift when computed over a sequence.

    • Yoli Shavit, Ron Ferens
    • 2019
  2. Sep 16, 2016 · This paper proposes a thorough diagnosis for the problem of object detection and pose estimation. We provide a diagnostic tool to examine the impact in the performance of the different types of false positives, and the effects of the main object characteristics.

    • Carolina Redondo-Cabrera, Roberto Javier López-Sastre, Yu Xiang, Tinne Tuytelaars, Silvio Savarese
    • 2016
  3. Apr 1, 2022 · An error prediction model based on a BPNN and the D-H method is established by the strategy of pose error decomposition, which can accurately and efficiently predict the pose errors over the entire workspace of the robot by a small number of measurement configurations.

  4. Abstract. This paper proposes a thorough diagnosis for the problem of object detection and pose estimation. We provide a diagnostic tool to examine the impact in the performance of the di erent types of false positives, and the e ects of the main object characteristics.

  5. Despite a huge performance boost when the agents solve the task together, the gain is quickly diminished in the presence of pose noise since the communication relies on spatial transformations. Hence, we propose a novel neural reasoning framework that learns to communicate, to estimate errors, and finally, to reach a consensus about those errors.

    • Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
    • 2020
  6. Feb 14, 2024 · For the datasets that directly provide ground truth poses, the pose accuracy of a method is measured by the deviation between the estimated and the ground truth pose, two prominent error metrics for direct localization methods are the absolute pose error (APE) and the relative pose error (RPE).

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  8. Dec 13, 2023 · In fact, one of the strengths of our algorithm is its ability of providing pose estimates with a small reprojection error, which is a crucial factor in pose estimation accuracy.

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