Get desktop application:
View/edit binary Protocol Buffers messages
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Specifies the format of the data Acceptable values: jpeg, png
Compressed image buffer
conti radar obstacle array
x axis ^ | longitude_dist | | | lateral_dist | y axis | <---------------- ooooooooooooo //radar front surface
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0 = track, 1 = cluster
obstacle Id
longitude distance to the radar; (+) = forward; unit = m
lateral distance to the radar; (+) = left; unit = m
longitude velocity to the radar; (+) = forward; unit = m/s
lateral velocity to the radar; (+) = left; unit = m/s
obstacle Radar Cross-Section; unit = dBsm
0 = moving, 1 = stationary, 2 = oncoming, 3 = stationary candidate 4 = unknown, 5 = crossing stationary, 6 = crossing moving, 7 = stopped
longitude distance standard deviation to the radar; (+) = forward; unit = m
lateral distance standard deviation to the radar; (+) = left; unit = m
longitude velocity standard deviation to the radar; (+) = forward; unit = m/s
lateral velocity standard deviation to the radar; (+) = left; unit = m/s
obstacle probability of existence
The following is only valid for the track object message 0 = deleted, 1 = new, 2 = measured, 3 = predicted, 4 = deleted for, 5 = new from merge
longitude acceleration to the radar; (+) = forward; unit = m/s2
lateral acceleration to the radar; (+) = left; unit = m/s2
orientation angle to the radar; (+) = counterclockwise; unit = degree
longitude acceleration standard deviation to the radar; (+) = forward; unit = m/s2
lateral acceleration standard deviation to the radar; (+) = left; unit = m/s2
orientation angle standard deviation to the radar; (+) = counterclockwise; unit = degree
obstacle length; unit = m
obstacle width; unit = m
0: point; 1: car; 2: truck; 3: pedestrian; 4: motorcycle; 5: bicycle; 6: wide; 7: unknown
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[m/s] [-32|31.75]
[m/s/s] [-32|31.75]
[m] [0|0]
[m/s] [-32|31.75]
[m] [-32|31.75]
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[deg] [-64|63.5]
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Report Message
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Report Message [ms] [0|254]
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[deg/s] [-128|127.9375]
[m/s] [0|127.9375]
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[m] [-8192|8191]
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[] [-16|15.875]
[] [0.9375|1.060546875]
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[degC] [-128|127]
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[deg] [0|2047]
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[deg] [-5|5]
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[m] [-8|7.96875]
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[deg] [-64|63.875]
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[] [-8|7.75]
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[m] [0|7.5]
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[m/s] [-81.92|81.91]
[m/s/s] [-25.6|25.55]
[m] [0|204.7]
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[deg] [-51.2|51.1]
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[m/s] [-128|127]
[m] [0|200]
[dB] [-10|40]
[deg] [-64|63.9375]
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[m/s] [-128|127]
[m] [0|200]
[dB] [-10|40]
[deg] [-64|63.9375]
image height, that is, number of rows
image width, that is, number of columns
Full row length in bytes
actual matrix data, size is (step * rows)
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x axis ^ | longitude_dist P2(Long2,Lat2) | ---------------------------------- | | | | | | | | | ---------------------------------- | P1(Long1,Lat1) | | lateral_dist ---------------------> y axis ooooooooooooo //radar front surface max:50m x 50m
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conti radar obstacle array
x axis ^ | longitude_dist | | | | lateral_dist | y axis -----------------> ooooooooooooo //radar front surface 77GHz
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0 = track, 1 = cluster
obstacle Id
longitude distance to the radar; (+) = target far away the radar unit = m
lateral distance to the radar; (+) = right; unit = m
longitude velocity to the radar; (+) = forward; unit = m/s
lateral velocity to the radar; (+) = right; unit = m/s
obstacle Radar Cross-Section; unit = dBsm
0 = moving, 1 = stationary, 2 = oncoming, 3 = stationary candidate 4 = unknown, 5 = crossing stationary, 6 = crossing moving, 7 = stopped
longitude distance standard deviation to the radar; (+) = forward; unit = m
lateral distance standard deviation to the radar; (+) = left; unit = m
longitude velocity standard deviation to the radar; (+) = forward; unit = m/s
lateral velocity standard deviation to the radar; (+) = left; unit = m/s
obstacle probability of existence
The following is only valid for the track object message 0 = deleted, 1 = new, 2 = measured, 3 = predicted, 4 = deleted for, 5 = new from merge
longitude acceleration to the radar; (+) = forward; unit = m/s2
lateral acceleration to the radar; (+) = left; unit = m/s2
orientation angle to the radar; (+) = counterclockwise; unit = degree
longitude acceleration standard deviation to the radar; (+) = forward; unit = m/s2
lateral acceleration standard deviation to the radar; (+) = left; unit = m/s2
orientation angle standard deviation to the radar; (+) = counterclockwise; unit = degree
obstacle length; unit = m
obstacle width; unit = m
0: point; 1: car; 2: truck; 3: pedestrian; 4: motorcycle; 5: bicycle; 6: wide; 7: unknown
Object Range
Object Velocity
Object Angle
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(m/second) current frame self vehicle speed
(fps) frames per second
current obstacle corresponding tracking id in obstacle tracking buffer
the track frame numbers of the obstacle, increments in 1 each frame until to the max record number, the actual number is (trackFrameNum + 1)
classify obstacle for front collision, FC, 0: invalid or continuous obstacle, 1: nearest obstacle in warning area, 2: obstacle in waning area, 3: obstacle out of warning area
the obstacle class label: 0-invalid; 1-warning obstacle; 2-obstacles to be warned; 3-non warning obstacle; 4-left continuous obstacle; 5-right continuous obstacle; 6-estimated vanish obstacle; 7-valid obstacle original, the obstacle class label: 0-invalid; 1-car; 2-person; 3-continuous obstacle; 4-valid; 5-other
the continuous obstacle class label: 0-invalid; 1-left continuous obstacle; 2-right continuous obstacle
(0/1) 0: current fuzzy estimation is invalid; 1: current fuzzy estimation is valid
the obstacle Type: INVALID=0,VEHICLE, PEDESTRIAN, ...
(pixel) the average disparity of an obstacle with adding infDisp: avgDisp = BF_VALUE/avgDitance+infDis
(m) the average Z distance of single obstacle rectangle
(m) the minimum Z distance of continuous obstacle
(m) the longest Z distance of continuous ob
(-+m) the left X for real 3D coordinate of the obstacle(the origin X is the center of car, right is positive)
(-+m) the right X for real 3D coordinate of the obstacle(the origin X is the center of car, right is positive)
(-+m) the center X for real 3D coordinate of the obstacle(the origin X is the center of car, right is positive)
(-+m) the up Y for real 3D coordinate of the obstacle(the origin Y is the camera position, down is positive)
(-+m) the Low y for real 3D coordinate of the obstacle(the origin Y is the camera position, down is positive)
(pixel) the X-axis of first point of rectangle, the first point :(x, y), left top point of single obstacle/near bottom point of continuous obstacle, full size pixel coordinate
(pixel) the Y-axis of first point of rectangle, the first point :(x, y), left top point of single obstacle/near bottom point of continuous obstacle, full size pixel coordinate
(pixel) the X-axis of second point of rectangle, the second point:(x+width, y), right top point of single obstacle/near top point of continuous obstacle, full size pixel coordinate
(pixel) the Y-axis of second point of rectangle, the second point:(x+width, y), right top point of single obstacle/near top point of continuous obstacle, full size pixel coordinate
(pixel) the X-axis of third point of rectangle, the third point :(x+width, y+height), right bottom point of single obstacle/far top point of continuous obstacle, full size pixel coordinate
(pixel) the Y-axis of third point of rectangle, the third point :(x+width, y+height), right bottom point of single obstacle/far top point of continuous obstacle, full size pixel coordinate
(pixel) the X-axis of fourth point of rectangle, the fourth point:(x,y+height), left bottom point of single obstacle/far bottom point of continuous obstacle, full size pixel coordinate
(pixel) the Y-axis of fourth point of rectangle, the fourth point:(x,y+height), left bottom point of single obstacle/far bottom point of continuous obstacle, full size pixel coordinate
(m) estimated relative distance in Z direction
(m/second) estimated speed in Z direction of current obstacle
(second) estimated collision time in Z direction
(0/1) estimated whether there is collision in X direction
(m) estimated real 3D width of current obstacle
(-+m) estimated real 3D position of obstacle center in X direction (the origin X is the center of car, right is positive)
(-+m) estimated real 3D position of obstacle left in X direction (the origin X is the center of car, right is positive)
(-+m) estimated real 3D position of obstacle right in X direction (the origin X is the center of car, right is positive)
(m) estimated real 3D height of current obstacle
(-+m) estimated real 3D position of obstacle up in Y direction (the origin Y is the camera position, down is positive)
(-+m) estimated real 3D position of obstacle low in Y direction (the origin Y is the camera position, down is positive)
(m/second) estimated center speed in X direction of current
obstacle
(m/second) estimated left speed in X direction of current obstacle
(m/second) estimated right speed in X direction of current obstacle
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Encoding of pixels -- channel meaning, ordering, size
OpenCV CvMat types
Bayer encodings
Miscellaneous This is the UYVY version of YUV422 codec http://www.fourcc.org/yuv.php#UYVY with an 8-bit depth
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conti radar obstacle array
x axis ^ | longitude_dist | | | lateral_dist | y axis | <---------------- ooooooooooooo //radar front surface
Used in:
0 = track, 1 = cluster
obstacle Id
longitude distance to the radar; (+) = forward; unit = m
lateral distance to the radar; (+) = left; unit = m
longitude velocity to the radar; (+) = farword; unit = m/s
lateral velocity to the radar; (+) = left; unit = m/s
obstacle Radar Cross-Section; unit = dBsm
0 = moving, 1 = stationary, 2 = oncoming, 3 = stationary candidate 4 = unknown, 5 = crossing stationary, 6 = crossing moving, 7 = stopped
longitude distance standard deviation to the radar; (+) = forward; unit = m
lateral distance standard deviationto the radar; (+) = left; unit = m
longitude velocity standard deviation to the radar; (+) = farword; unit = m/s
lateral velocity standard deviation to the radar; (+) = left; unit = m/s
obstacle probability of existence
The following is only valid for the track object message 0 = deleted, 1 = new, 2 = measured, 3 = predicted, 4 = deleted for, 5 = new from merge
longitude acceleration to the radar; (+) = farword; unit = m/s2
lateral acceleration to the radar; (+) = left; unit = m/s2
oritation angle to the radar; (+) = conterclockwise; unit = degree
longitude acceleration standard deviation to the radar; (+) = farword; unit = m/s2
lateral acceleration standard deviation to the radar; (+) = left; unit = m/s2
oritation angle standard deviation to the radar; (+) = conterclockwise; unit = degree
obstacle length; unit = m
obstacle width; unit = m
0: point; 1: car; 2: truck; 3: pedestrian; 4: motocycle; 5: bicycle; 6: wide; 7: unknown
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obstacle ID.
obstacle position in the sl coordinate system.
obstacle relative velocity.
radar signal intensity.
whether this obstacle is able to move.
obstacle position in map coordinate system
obstacle position in map coordinate system
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An array of obstacles
Header
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output obstacles num on one frame
An array of obstacles
x axis ^ | * | * * | * \ * | * / \ * range(i) * / \ | / \ | / \ | / y axis \ | / <--------------- ooooooooooooo //ultrasonic radar front surface In every working cycle, each radar of the ultrasonic system return a range to form a range array, 'ranges'.
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[deg/s] [0|2047]
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[deg] [0|2047]
[m] [-8192|8191]
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[deg/s] [-128|127.9375]
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[m/s] [0|127.9375]
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Report Message
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[m] [-4000|3500]
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[deg] [-32|31]
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(+) = to the right from driver's perspective [m] [-2|1.984375]
(+) = clockwise [deg] [-8|7.9375]
[] [0|65535]
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[] [250|2000]
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(+) = clockwise [deg] [-8|7.9375]
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[cm] [0|125]
[deg] [0|120]
[deg] [0|30]
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[m/s/s] [-8|7.96875]
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[] [-8|7.96875]
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[m] [2|10]
[m] [1|10]
[m] [2|10]
[cm] [-100|100]
[cm] [-100|100]
[cm] [-100|100]
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[] [0|31.875]
[cm] [200|710]
[cm] [200|710]
[] [0|1.9921875]
[m] [-2|10]
[m] [-2|10]
[deg] [0|6]
[%] [-128|127]
Report Message
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Report Message [m] [-2|10]
[m] [-2|10]
[m] [0|255]
[m/s] [0|20]
[deg] [0|10]