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Fix ekf.yaml process_noise_covariance: all floats (was mixed int/float, failed YAML parse)

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This commit is contained in:
Grant du Toit 2026-06-17 12:14:28 +00:00
parent 7590fafa04
commit 45b3301952
1 changed files with 20 additions and 23 deletions
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43
src/rov_navigation/config/ekf.yaml
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@ -1,7 +1,6 @@
# robot_localization EKF configuration for ROV # robot_localization EKF configuration for ROV
# Fuses: Xsens IMU (primary), depth sensor # Fuses: Xsens IMU (primary), depth sensor
# Future: DVL when available # Future: DVL when available
ekf_filter_node: ekf_filter_node:
ros__parameters: ros__parameters:
frequency: 30.0 frequency: 30.0
@ -12,31 +11,29 @@ ekf_filter_node:
odom_frame: odom odom_frame: odom
base_link_frame: base_link base_link_frame: base_link
world_frame: odom world_frame: odom
# Xsens IMU — primary attitude source # Xsens IMU — primary attitude source
imu0: /imu/data imu0: /imu/data
imu0_config: [false, false, false, # x, y, z position imu0_config: [false, false, false,
true, true, true, # roll, pitch, yaw true, true, true,
false, false, false, # vx, vy, vz false, false, false,
true, true, true, # vroll, vpitch, vyaw true, true, true,
true, true, true] # ax, ay, az true, true, true]
imu0_differential: false imu0_differential: false
imu0_relative: false imu0_relative: false
imu0_remove_gravitational_acceleration: true imu0_remove_gravitational_acceleration: true
# Process noise — tune after pool testing # Process noise — tune after pool testing
process_noise_covariance: [0.05, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, process_noise_covariance: [0.05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0, 0.05, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.0, 0.05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0, 0, 0.06, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.0, 0.0, 0.06, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0, 0, 0, 0.03, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.0, 0.0, 0.0, 0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0, 0, 0, 0, 0.03, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.0, 0.0, 0.0, 0.0, 0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0, 0, 0, 0, 0, 0.06, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0, 0, 0, 0, 0, 0, 0.025,0, 0, 0, 0, 0, 0, 0, 0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025,0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0, 0, 0, 0, 0, 0, 0, 0.025,0, 0, 0, 0, 0, 0, 0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025,0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0, 0, 0, 0, 0, 0, 0, 0, 0.04, 0, 0, 0, 0, 0, 0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.04, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0.01, 0, 0, 0, 0, 0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0, 0.0, 0.0, 0.0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.01, 0, 0, 0, 0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0, 0.0, 0.0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.02, 0, 0, 0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02, 0.0, 0.0, 0.0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.01, 0, 0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.01, 0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01, 0.0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.015] 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015]