EuRoC.yaml 4.5 KB

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  1. %YAML:1.0
  2. #--------------------------------------------------------------------------------------------
  3. # Camera Parameters. Adjust them!
  4. #--------------------------------------------------------------------------------------------
  5. Camera.type: "PinHole"
  6. # Camera calibration and distortion parameters (OpenCV) (equal for both cameras after stereo rectification)
  7. Camera.fx: 435.2046959714599
  8. Camera.fy: 435.2046959714599
  9. Camera.cx: 367.4517211914062
  10. Camera.cy: 252.2008514404297
  11. Camera.k1: 0.0
  12. Camera.k2: 0.0
  13. Camera.p1: 0.0
  14. Camera.p2: 0.0
  15. Camera.width: 752
  16. Camera.height: 480
  17. # Camera frames per second
  18. Camera.fps: 20.0
  19. # stereo baseline times fx
  20. Camera.bf: 47.90639384423901
  21. # Color order of the images (0: BGR, 1: RGB. It is ignored if images are grayscale)
  22. Camera.RGB: 1
  23. # Close/Far threshold. Baseline times.
  24. ThDepth: 35.0 # 35
  25. # Transformation from camera 0 to body-frame (imu)
  26. Tbc: !!opencv-matrix
  27. rows: 4
  28. cols: 4
  29. dt: f
  30. data: [0.0148655429818, -0.999880929698, 0.00414029679422, -0.0216401454975,
  31. 0.999557249008, 0.0149672133247, 0.025715529948, -0.064676986768,
  32. -0.0257744366974, 0.00375618835797, 0.999660727178, 0.00981073058949,
  33. 0.0, 0.0, 0.0, 1.0]
  34. # IMU noise
  35. IMU.NoiseGyro: 1.7e-04 # 1.6968e-04
  36. IMU.NoiseAcc: 2.0e-03 # 2.0000e-3
  37. IMU.GyroWalk: 1.9393e-05
  38. IMU.AccWalk: 3.e-03 # 3.0000e-3
  39. IMU.Frequency: 200
  40. #--------------------------------------------------------------------------------------------
  41. # Stereo Rectification. Only if you need to pre-rectify the images.
  42. # Camera.fx, .fy, etc must be the same as in LEFT.P
  43. #--------------------------------------------------------------------------------------------
  44. LEFT.height: 480
  45. LEFT.width: 752
  46. LEFT.D: !!opencv-matrix
  47. rows: 1
  48. cols: 5
  49. dt: d
  50. data:[-0.28340811, 0.07395907, 0.00019359, 1.76187114e-05, 0.0]
  51. LEFT.K: !!opencv-matrix
  52. rows: 3
  53. cols: 3
  54. dt: d
  55. data: [458.654, 0.0, 367.215, 0.0, 457.296, 248.375, 0.0, 0.0, 1.0]
  56. LEFT.R: !!opencv-matrix
  57. rows: 3
  58. cols: 3
  59. dt: d
  60. data: [0.999966347530033, -0.001422739138722922, 0.008079580483432283, 0.001365741834644127, 0.9999741760894847, 0.007055629199258132, -0.008089410156878961, -0.007044357138835809, 0.9999424675829176]
  61. LEFT.Rf: !!opencv-matrix
  62. rows: 3
  63. cols: 3
  64. dt: f
  65. data: [0.999966347530033, -0.001422739138722922, 0.008079580483432283, 0.001365741834644127, 0.9999741760894847, 0.007055629199258132, -0.008089410156878961, -0.007044357138835809, 0.9999424675829176]
  66. LEFT.P: !!opencv-matrix
  67. rows: 3
  68. cols: 4
  69. dt: d
  70. data: [435.2046959714599, 0, 367.4517211914062, 0, 0, 435.2046959714599, 252.2008514404297, 0, 0, 0, 1, 0]
  71. RIGHT.height: 480
  72. RIGHT.width: 752
  73. RIGHT.D: !!opencv-matrix
  74. rows: 1
  75. cols: 5
  76. dt: d
  77. data:[-0.28368365, 0.07451284, -0.00010473, -3.555907e-05, 0.0]
  78. RIGHT.K: !!opencv-matrix
  79. rows: 3
  80. cols: 3
  81. dt: d
  82. data: [457.587, 0.0, 379.999, 0.0, 456.134, 255.238, 0.0, 0.0, 1]
  83. RIGHT.R: !!opencv-matrix
  84. rows: 3
  85. cols: 3
  86. dt: d
  87. data: [0.9999633526194376, -0.003625811871560086, 0.007755443660172947, 0.003680398547259526, 0.9999684752771629, -0.007035845251224894, -0.007729688520722713, 0.007064130529506649, 0.999945173484644]
  88. RIGHT.P: !!opencv-matrix
  89. rows: 3
  90. cols: 4
  91. dt: d
  92. data: [435.2046959714599, 0, 367.4517211914062, -47.90639384423901, 0, 435.2046959714599, 252.2008514404297, 0, 0, 0, 1, 0]
  93. #--------------------------------------------------------------------------------------------
  94. # ORB Parameters
  95. #--------------------------------------------------------------------------------------------
  96. # ORB Extractor: Number of features per image
  97. ORBextractor.nFeatures: 1200
  98. # ORB Extractor: Scale factor between levels in the scale pyramid
  99. ORBextractor.scaleFactor: 1.2
  100. # ORB Extractor: Number of levels in the scale pyramid
  101. ORBextractor.nLevels: 8
  102. # ORB Extractor: Fast threshold
  103. # Image is divided in a grid. At each cell FAST are extracted imposing a minimum response.
  104. # Firstly we impose iniThFAST. If no corners are detected we impose a lower value minThFAST
  105. # You can lower these values if your images have low contrast
  106. ORBextractor.iniThFAST: 20
  107. ORBextractor.minThFAST: 7
  108. #--------------------------------------------------------------------------------------------
  109. # Viewer Parameters
  110. #--------------------------------------------------------------------------------------------
  111. Viewer.KeyFrameSize: 0.05
  112. Viewer.KeyFrameLineWidth: 1
  113. Viewer.GraphLineWidth: 0.9
  114. Viewer.PointSize:2
  115. Viewer.CameraSize: 0.08
  116. Viewer.CameraLineWidth: 3
  117. Viewer.ViewpointX: 0
  118. Viewer.ViewpointY: -0.7
  119. Viewer.ViewpointZ: -1.8
  120. Viewer.ViewpointF: 500