Feb 27, 2019 · We propose a solution for sensor extrinsic self-calibration with very low time complexity, competitive accuracy and graceful handling of often-avoided corner ...
Jan 23, 2020 · We propose a solution for sensor extrinsic self-calibration with low time complexity, competitive accuracy and graceful handling of often avoided corner cases.
The proposed FastCal algorithm is the loosely-coupled formulation for sensor extrinsics calibration and efficient selection of measurements, which runs up ...
We propose a solution for sensor extrinsic self-calibration with low time complexity, competitive accuracy and graceful handling of often avoided corner ...
We propose a solution for sensor extrinsic self-calibration with very low time complexity, competitive accuracy and graceful handling of often-avoided ...
Overview ; CU Boulder Authors. Heckman, Christoffer Roger ; publication date. November 5, 2018 ; has restriction. closed ; Date in CU Experts. February 1, 2019 10: ...
FastCal: Robust Online Self-calibration for Robotic Systems. https://doi.org ... Automatic self-calibration of a vision system during robot motion. In ...
Feb 27, 2019 · FastCal runs up to an order of magnitude faster than similar self-calibration algorithms1, making. FastCal ideal for integration into existing, ...
Fernando Nobre, Christoffer Heckman: FastCal: Robust Online Self-Calibration for Robotic Systems. CoRR abs/1902.10585 (2019). manage site settings.
Abstract. We present a generic algorithm for self calibration of robotic systems that utilizes two key innovations. First, it uses an information-theoretic.
Missing: FastCal: | Show results with:FastCal: