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In ROS these 3 are different implementations. Main difference is methods based on EKF need initial guess and unimodal but particle filter doesnt need initial guess and is multimodal


robot_localization -> 3D tacking based on Extended Kalman filter with mulitple sensors (multiple odom and multiple IMU..)and provide more functionality (i didnt use it)


robot_pose_ekf -> 3D tacking based on Extended Kalman filter fusing wheel odometry, IMU sensor and visual odometry. For tracking pose.


amcl -> 2D localization based on particle filter uses odometry and laser.


In ROS these 3 are different implementations. Main difference is methods based on EKF need initial guess and are unimodal but particle filter doesnt need initial guess and is are multimodal


robot_localization -> 3D tacking based on Extended Kalman filter with mulitple sensors (multiple odom and multiple IMU..)and provide more functionality (i didnt use it)


robot_pose_ekf -> 3D tacking based on Extended Kalman filter fusing wheel odometry, IMU sensor and visual odometry. For tracking pose.


amcl -> 2D localization based on particle filter uses odometry and laser.