KILO-EKF: Koopman-Inspired Learned Observations Extended Kalman Filter
KILO-EKF:基于Koopman的学得观测扩展卡尔曼滤波器
机构 * University of Toronto Robotics Institute(多伦多大学机器人研究所) ; Department of Mechanical Engineering(机械工程系) ; McGill University(麦吉尔大学)
AI总结 KILO-EKF通过学习Koopman启发式测量模型,实现高效、准确的传感器校准与状态估计,适用于实时四旋翼定位任务。
Comments Submitted to IEEE/RSJ IROS. 8 pages, 9 figures, 1 table