ROS2-ORB-SLAM3/Examples/Monocular-Inertial/TUM_512_far.yaml

%YAML:1.0

#--------------------------------------------------------------------------------------------
# Camera Parameters. Adjust them!
#--------------------------------------------------------------------------------------------
Camera.type: "KannalaBrandt8"
# Camera calibration and distortion parameters (OpenCV) 
Camera.fx: 190.978477 # 190.97847715128717
Camera.fy: 190.973307 # 190.9733070521226
Camera.cx: 254.931706 # 254.93170605935475
Camera.cy: 256.897442 # 256.8974428996504

# Equidistant distortion 0.0034823894022493434, 0.0007150348452162257, -0.0020532361418706202, 0.00020293673591811182
#Camera.bFishEye: 1
Camera.k1: 0.003482389402 # 0.0034823894022493434
Camera.k2: 0.000715034845 # 0.0007150348452162257
Camera.k3: -0.002053236141 # -0.0020532361418706202
Camera.k4: 0.000202936736 # 0.00020293673591811182
    
# Camera resolution
Camera.width: 512
Camera.height: 512

# Camera frames per second 
Camera.fps: 20.0

# Color order of the images (0: BGR, 1: RGB. It is ignored if images are grayscale)
Camera.RGB: 1

# Transformation from body-frame (imu) to camera
Tbc: !!opencv-matrix
   rows: 4
   cols: 4
   dt: f
   data: [-0.9995250378696743, 0.0075019185074052044, -0.02989013031643309, 0.045574835649698026, 
          0.029615343885863205, -0.03439736061393144, -0.998969345370175, -0.071161801837997044,
         -0.008522328211654736, -0.9993800792498829, 0.03415885127385616, -0.044681254117144367,
          0.0, 0.0, 0.0, 1.0]
# Tbc: !!opencv-matrix  # from vins mono calibration file
#   rows: 4
#   cols: 4
#   dt: f
#   data: [-0.9995250378696743, 0.0075842033363785165, -0.030214670573904204, 0.044511917113940799, 
#          0.029940114644659861, -0.034023430206013172, -0.99897246995704592, -0.073197096234105752,
#         -0.0086044170750674241, -0.99939225835343004, 0.033779845322755464, -0.047972907300764499,
#          0.0, 0.0, 0.0, 1.0]


# IMU noise (Use those from VINS-mono)
IMU.NoiseGyro: 0.00016 # 0.004 (VINS) # 0.00016 (TUM) # 0.00016    # rad/s^0.5 
IMU.NoiseAcc: 0.0028 # 0.04 (VINS) # 0.0028 (TUM) # 0.0028     # m/s^1.5
IMU.GyroWalk: 0.000022 # 0.000022 (VINS and TUM) rad/s^1.5
IMU.AccWalk: 0.00086 # 0.0004 (VINS) # 0.00086 # 0.00086    # m/s^2.5
IMU.Frequency: 200
thFarPoints: 20.0

#--------------------------------------------------------------------------------------------
# ORB Parameters
#--------------------------------------------------------------------------------------------

# ORB Extractor: Number of features per image
ORBextractor.nFeatures: 1000 # Tested with 1250

# ORB Extractor: Scale factor between levels in the scale pyramid 	
ORBextractor.scaleFactor: 1.2

# ORB Extractor: Number of levels in the scale pyramid	
ORBextractor.nLevels: 8

# ORB Extractor: Fast threshold
# Image is divided in a grid. At each cell FAST are extracted imposing a minimum response.
# Firstly we impose iniThFAST. If no corners are detected we impose a lower value minThFAST
# You can lower these values if your images have low contrast			
# ORBextractor.iniThFAST: 20
# ORBextractor.minThFAST: 7
ORBextractor.iniThFAST: 20 # 20
ORBextractor.minThFAST: 7 # 7

#--------------------------------------------------------------------------------------------
# Viewer Parameters
#--------------------------------------------------------------------------------------------
Viewer.KeyFrameSize: 0.05
Viewer.KeyFrameLineWidth: 1
Viewer.GraphLineWidth: 0.9
Viewer.PointSize: 2
Viewer.CameraSize: 0.08
Viewer.CameraLineWidth: 3
Viewer.ViewpointX: 0
Viewer.ViewpointY: -0.7
Viewer.ViewpointZ: -3.5 # -1.8
Viewer.ViewpointF: 500