Institute of Robotics and Automatic Information System (IRAIS), Nankai University, Tianjin 300071, China,Tianjin Key Laboratory of Intelligent Robotics (TJKLIR), Nankai University, Tianjin 300071, China;
Institute of Robotics and Automatic Information System (IRAIS), Nankai University, Tianjin 300071, China,Tianjin Key Laboratory of Intelligent Robotics (TJKLIR), Nankai University, Tianjin 300071, China;
Institute of Robotics and Automatic Information System (IRAIS), Nankai University, Tianjin 300071, China,Tianjin Key Laboratory of Intelligent Robotics (TJKLIR), Nankai University, Tianjin 300071, China;
College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China;
Mobile robots; Pose estimation; Vision and odometry; Robust feature association;
机译:基于IMU数据和视觉数据融合的扩展卡尔曼滤波器的移动机器人姿态估计
机译:基于扩展的基于卡尔曼滤波器的视觉,惯性和磁传感器姿态估计方法:比较分析和性能评估
机译:用于机器人3D姿态估计的模糊自适应扩展卡尔曼滤波器
机译:基于Kalman滤波器的机器人姿势估计方法,具有视觉和内径
机译:基于扩展卡尔曼滤波器的修剪算法以及神经网络学习的多个方面。
机译:基于IMU数据和视觉数据融合的扩展卡尔曼滤波器的移动机器人姿态估计
机译:基于ImU数据和视觉数据融合的移动机器人姿态估计的扩展卡尔曼滤波器
机译:基于双四元数的扩展卡尔曼滤波的姿态和运动估计