XTDrone/sensing/slam/vio/VINS-Fusion/config/kitti_odom/kitti_config04-12.yaml

66 lines
2.4 KiB
YAML

%YAML:1.0
#common parameters
imu: 0
num_of_cam: 2
imu_topic: ""
image0_topic: "/leftImage"
image1_topic: "/rightImage"
output_path: "/home/tony-ws1/output/"
cam0_calib: "cam04-12.yaml"
cam1_calib: "cam04-12.yaml"
image_width: 1241
image_height: 376
# Extrinsic parameter between IMU and Camera.
estimate_extrinsic: 0 # 0 Have an accurate extrinsic parameters. We will trust the following imu^R_cam, imu^T_cam, don't change it.
# 1 Have an initial guess about extrinsic parameters. We will optimize around your initial guess.
body_T_cam0: !!opencv-matrix
rows: 4
cols: 4
dt: d
data: [1, 0, 0, 0,
0, 1, 0, 0,
0, 0, 1, 0,
0, 0, 0, 1]
body_T_cam1: !!opencv-matrix
rows: 4
cols: 4
dt: d
data: [1, 0, 0, 0.537150653267924,
0, 1, 0, 0,
0, 0, 1, 0,
0, 0, 0, 1]
#Multiple thread support
multiple_thread: 0
#feature traker paprameters
max_cnt: 200 # max feature number in feature tracking
min_dist: 30 # min distance between two features
freq: 10 # frequence (Hz) of publish tracking result. At least 10Hz for good estimation. If set 0, the frequence will be same as raw image
F_threshold: 1.0 # ransac threshold (pixel)
show_track: 1 # publish tracking image as topic
flow_back: 1 # perform forward and backward optical flow to improve feature tracking accuracy
#optimization parameters
max_solver_time: 0.08 # max solver itration time (s), to guarantee real time
max_num_iterations: 10 # max solver itrations, to guarantee real time
keyframe_parallax: 15 # keyframe selection threshold (pixel)
#imu parameters The more accurate parameters you provide, the better performance
acc_n: 0.1 # accelerometer measurement noise standard deviation. #0.2 0.04
gyr_n: 0.01 # gyroscope measurement noise standard deviation. #0.05 0.004
acc_w: 0.001 # accelerometer bias random work noise standard deviation. #0.02
gyr_w: 1.0e-4 # gyroscope bias random work noise standard deviation. #4.0e-5
g_norm: 9.81007 # gravity magnitude
#unsynchronization parameters
estimate_td: 0 # online estimate time offset between camera and imu
td: 0.0 # initial value of time offset. unit: s. readed image clock + td = real image clock (IMU clock)