RMCKF Scenario 2
收藏DataCite Commons2023-07-03 更新2024-08-18 收录
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https://figshare.com/articles/dataset/RMCKF_Scenario_2/23618637/1
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资源简介：
Second scenario of the study: Regularized Maximum-Correntropy Criterion Kalman Filter for uncalibrated visual servoing in the presence of non-gaussian feature tracking noise. It presents a more complex visual servoing problem with non-gaussian noise contamination, where the robot starting configuration changes, requiring image features translation and rotation.
提供机构：
figshare
创建时间：
2023-07-03
