euroc_stereo_imu_config.yaml

%YAML:1.0

#common parameters
#support: 1 imu 1 cam; 1 imu 2 cam: 2 cam; 
imu: 1         
num_of_cam: 2  

imu_topic: "/imu0"
image0_topic: "/cam0/image_raw"
image1_topic: "/cam1/image_raw"
output_path: "~/output/"

cam0_calib: "cam0_mei.yaml"
cam1_calib: "cam1_mei.yaml"
image_width: 752
image_height: 480

# GPU acceleration
use_gpu         : 0
use_gpu_acc_flow: 0
use_gpu_ceres   : 0
   

# 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: [0.0148655429818, -0.999880929698, 0.00414029679422, -0.0216401454975,
           0.999557249008, 0.0149672133247, 0.025715529948,  -0.064676986768,
           -0.0257744366974, 0.00375618835797, 0.999660727178, 0.00981073058949,
           0, 0, 0, 1]

body_T_cam1: !!opencv-matrix
   rows: 4
   cols: 4
   dt: d
   data: [0.0125552670891, -0.999755099723, 0.0182237714554, -0.0198435579556,
           0.999598781151, 0.0130119051815, 0.0251588363115, 0.0453689425024,
          -0.0253898008918, 0.0179005838253, 0.999517347078, 0.00786212447038,
          0, 0, 0, 1]

#Multiple thread support
multiple_thread: 1

#feature traker paprameters
max_cnt: 150            # 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: 0.04  # max solver itration time (ms), to guarantee real time
max_num_iterations: 8   # max solver itrations, to guarantee real time
keyframe_parallax: 10.0 # keyframe selection threshold (pixel)

#imu parameters       The more accurate parameters you provide, the better performance
acc_n: 0.1          # accelerometer measurement noise standard deviation. 
gyr_n: 0.01         # gyroscope measurement noise standard deviation.     
acc_w: 0.001        # accelerometer bias random work noise standard deviation.  
gyr_w: 0.0001       # gyroscope bias random work noise standard deviation.     
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)

#loop closure parameters
load_previous_pose_graph: 0        # load and reuse previous pose graph; load from 'pose_graph_save_path'
pose_graph_save_path: "~/output/pose_graph/" # save and load path
save_image: 1                   # save image in pose graph for visualization prupose; you can close this function by setting 0