IMU sensitivity is too high

[EmirEvcil]

I'm trying to integrate imu (MPU9250) into google cartographer. I publish the IMU data I obtain to the /imu topic by passing it through the Madgwick filter. When I check the sensor with ros_imu_plugin, the movement seems to be very smooth and working properly. However, when you set use_imu = true in Google Cartographer, the mapping becomes very stupid and the orientation of the base_link changes very quickly, so the sensitivity seems to be very low. Even a little movement causes a lot of rotation. What is the reason of this ? I had this problem before in ros_imu_plugin, but I fixed it by playing with the parameters in the Madgwick filter, but I don't know how to solve it in google cartograph. I would also like to point out that I did 2D mapping.

include "map_builder.lua"
include "trajectory_builder.lua"

options = {
map_builder = MAP_BUILDER,
trajectory_builder = TRAJECTORY_BUILDER,
map_frame = "map",
tracking_frame = "base_link",
published_frame = "base_link",
odom_frame = "odom",
provide_odom_frame = true,
publish_frame_projected_to_2d = true,
use_odometry = false,
use_nav_sat = false,
use_landmarks = false,
num_laser_scans = 1,
num_multi_echo_laser_scans = 0,
num_subdivisions_per_laser_scan = 1,
num_point_clouds = 0,
lookup_transform_timeout_sec = 0.2,
submap_publish_period_sec = 0.3,
pose_publish_period_sec = 5e-3,
trajectory_publish_period_sec = 30e-3,
rangefinder_sampling_ratio = 1.,
odometry_sampling_ratio = 1.,
fixed_frame_pose_sampling_ratio = 1.,
imu_sampling_ratio = 1.,
landmarks_sampling_ratio = 1.,
}

MAP_BUILDER.use_trajectory_builder_2d = true

TRAJECTORY_BUILDER_2D.min_range = 0.5
TRAJECTORY_BUILDER_2D.max_range = 8.
TRAJECTORY_BUILDER_2D.missing_data_ray_length = 8.5
TRAJECTORY_BUILDER_2D.use_imu_data = false
TRAJECTORY_BUILDER_2D.use_online_correlative_scan_matching = true
TRAJECTORY_BUILDER_2D.real_time_correlative_scan_matcher.linear_search_window = 0.1
TRAJECTORY_BUILDER_2D.real_time_correlative_scan_matcher.translation_delta_cost_weight = 10.
TRAJECTORY_BUILDER_2D.real_time_correlative_scan_matcher.rotation_delta_cost_weight = 1e-1
TRAJECTORY_BUILDER_2D.motion_filter.max_angle_radians = math.rad(0.2)
-- for current lidar only 1 is good value
TRAJECTORY_BUILDER_2D.num_accumulated_range_data = 1

POSE_GRAPH.constraint_builder.min_score = 0.65
POSE_GRAPH.constraint_builder.global_localization_min_score = 0.65
POSE_GRAPH.optimization_problem.huber_scale = 1e2
POSE_GRAPH.optimize_every_n_nodes = 35

return options

[bufeng-12]

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[EmirEvcil]

header:
seq: 780885
stamp:
secs: 1703943037
nsecs: 214104413
frame_id: "base_link"
orientation:
x: -0.8021243250537446
y: -0.021046560940722856
z: 0.5868600885324634
w: -0.10839209342619172
orientation_covariance: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
angular_velocity:
x: -0.244140625
y: 0.54931640625
z: 0.0
angular_velocity_covariance: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
linear_acceleration:
x: -0.267578125
y: -0.69921875
z: 1.32373046875
linear_acceleration_covariance: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]

imu data that i publish