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trajectory_type
stringclasses
11 values
start_position
listlengths
3
3
goal_position
listlengths
3
3
waypoints
listlengths
5
29
obstacle_position
listlengths
3
3
dt
float64
0.1
0.1
episode_id
int64
0
1.35k
states
listlengths
17
10.3k
smooth_random
[ 33.373867, -12.515539, -5.268928 ]
[ 33.490831, -5, -4 ]
[ [ 33.373867, -12.515539, -5.268928 ], [ 32.458038, -13.17386, -5.239429 ], [ 30.820996, -13.077096, -4.404784 ], [ 29.935155, -13.981564, -4.409779 ], [ 28.306078, -14.866228, -4 ], [ 27.053955, -15, -4 ], [ 25.53879...
null
0.1
0
[ [ 0.000392, 33.488449, -12.522312, -5.561652, 0.975229, 0.015445, 0.220654, 0.001061, 3.164764, -0.23862, -1.755615, -0.011978, -0.167755, -0.00151, -3.927024, 0.270806, 1.680712 ], [ 0.000785, 33.488449, -12.522312, -5.561652, ...
hover_arrival
[ -7.000044, -11.285428, -4.715452 ]
[ 40.994069, -5, -4.398659 ]
[ [ -7.000044, -11.285428, -4.715452 ], [ -2.62548, -10.596533, -5.06725 ], [ 0.972161, -9.868576, -4.202954 ], [ 4.803413, -9.546496, -4.479676 ], [ 8.932687, -9.430825, -4.758197 ], [ 12.728252, -8.796648, -4.962777 ], [...
null
0.1
1
[ [ 0.001395, -7.149958, -11.259553, -5.337029, -0.838734, 0.095743, 0.26231, -0.467495, -4.666701, -0.633039, -1.711114, -0.317222, -0.267001, -0.021029, 8.693755, 1.387899, -3.918684 ], [ 0.001737, -7.149958, -11.259553, -5.3370...
hover_arrival
[ 5.03079, -6.934001, -5.989696 ]
[ 37.411774, -15, -4 ]
[ [ 5.03079, -6.934001, -5.989696 ], [ 6.769516, -7.411693, -5.983968 ], [ 7.872426, -7.399241, -5.609111 ], [ 9.845074, -7.863945, -5.625276 ], [ 11.158083, -8.279684, -5.575929 ], [ 12.621022, -8.377313, -5.550984 ], [ ...
null
0.1
2
[ [ 0.000505, 4.943404, -6.939106, -5.839514, -0.982096, -0.025941, 0.144613, 0.117901, -2.378468, -0.158159, -0.769042, -0.008872, 0.023201, 0.002175, 2.885434, 0.167838, 0.354295 ], [ 0.001075, 4.943404, -6.939106, -5.839514, ...
line
[ 43.09008, -6.740602, -4.702396 ]
[ 50, -5, -4 ]
[ [ 43.09008, -6.740602, -4.702396 ], [ 43.745921, -6.725898, -4.515833 ], [ 44.168253, -6.486103, -4.486134 ], [ 44.53046, -6.577265, -4.310151 ], [ 44.01889, -6.609318, -5.165696 ], [ 44.014795, -6.593534, -4.497751 ], [...
null
0.1
3
[ [ 0.000376, 43.189056, -6.715744, -5.336897, -0.984871, 0.126072, -0.115866, -0.026636, 1.802653, 2.289518, -0.049894, -0.07404, 0.069269, 0.006013, -2.230829, -2.567007, 0.452293 ], [ 0.000759, 43.189056, -6.715744, -5.336897, ...
periodic
[ 45.648875, -5.154592, -6.424766 ]
[ 37.074818, -15, -6.492591 ]
[ [ 45.648875, -5.154592, -6.424766 ], [ 49.883598, -11.973579, -6.444998 ], [ 43.760617, -9.714358, -6.244575 ], [ 32.365714, -7.367254, -6.412784 ], [ 41.418195, -14.184876, -6.435168 ], [ 50, -15, -6.442076 ], [ 39....
null
0.1
4
[ [ 0.000472, 49.153217, -5.354909, -4.155307, 0.99934, 0.005338, 0.010379, 0.034405, 1.236883, 0.286858, 0.28949, 0.013991, 0.063175, -0.094735, -0.213082, 0.096497, -0.119583 ], [ 0.103019, 49.277092, -5.325233, -4.121596, 0...
turn
[ -9.735907, -5.227248, -6.403447 ]
[ 7.120002, -5.855742, -7 ]
[[-9.735907,-5.227248,-6.403447],[-8.026033,-6.427616,-6.434895],[-6.502066,-7.646846,-6.394906],[-5(...TRUNCATED)
null
0.1
5
[[0.00072,-9.853408,-5.200796,-7.0233,-0.962849,0.068922,0.159157,-0.206981,-2.850921,0.617569,-0.06(...TRUNCATED)
line
[ 36.676654, -8.477279, -5.311977 ]
[ 50, -15, -7 ]
[[36.676654,-8.477279,-5.311977],[37.133403,-8.343917,-5.23436],[37.947539,-8.996716,-5.656387],[38.(...TRUNCATED)
null
0.1
6
[[0.000492,36.780289,-8.486976,-5.799306,0.634992,-0.084833,0.085471,-0.763075,2.135437,-0.206153,0.(...TRUNCATED)
sharp_change
[ -2.974665, -8.835195, -4.696004 ]
[ -10, -10.671957, -6.307208 ]
[[-2.974665,-8.835195,-4.696004],[-0.793152,-9.02537,-4.752448],[0.97197,-8.583763,-4.413223],[3.214(...TRUNCATED)
null
0.1
7
[[0.000538,-3.115368,-8.834557,-5.685883,0.853061,0.087944,-0.227255,-0.461419,-3.600251,0.337226,-1(...TRUNCATED)
periodic
[ 46.812959, -6.591984, -6.589029 ]
[ 47.246286, -15, -7 ]
[[46.812959,-6.591984,-6.589029],[50.0,-8.554296,-6.412004],[50.0,-10.586716,-6.181896],[49.995421,-(...TRUNCATED)
null
0.1
8
[[0.000529,-5.481856,-9.756078,-7.303372,-0.958852,-0.057803,0.205032,0.187677,0.285431,0.01844,-0.0(...TRUNCATED)
altitude_change
[ 29.419488, -5.001963, -6.889028 ]
[ 40.670635, -5, -7 ]
[[29.419488,-5.001963,-6.889028],[30.224261,-5.0,-6.42504],[30.206431,-5.0,-7.0],[30.540309,-5.15527(...TRUNCATED)
null
0.1
9
[[0.001401,29.326962,-4.961125,-7.399479,0.624622,-0.12039,-0.022384,0.771267,-1.910268,1.039445,0.1(...TRUNCATED)
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ProjectAirSim UAV Kinematic Trajectories

This dataset contains UAV trajectory episodes collected from ProjectAirSim. Each row is one episode. The states field is a variable-length sequence sampled at approximately 10.00 Hz.

State vector:

[t, x, y, z, qw, qx, qy, qz, vx, vy, vz, wx, wy, wz, ax, ay, az]

Fields:

  • episode_id: integer episode index.
  • trajectory_type: trajectory family used to generate waypoints.
  • start_position: NED start position [x, y, z] in meters.
  • goal_position: NED final goal position [x, y, z] in meters.
  • waypoints: planned intermediate NED waypoints.
  • obstacle_position: synthetic obstacle center for avoidance episodes, otherwise null.
  • dt: target sampling interval in seconds.
  • states: sampled kinematic history.

Trajectory types:

  • altitude_change
  • avoidance
  • combined
  • hover_arrival
  • line
  • out_and_back
  • periodic
  • sharp_change
  • smooth_random
  • spiral
  • turn

Source:

Generated with the ProjectAirSim Python client using asynchronous UAV velocity commands and ground-truth kinematics.

The data collection scripts and generation pipeline are publicly available in the following GitHub repository:

https://github.com/QinCheng0928/ProjectAirSim-UAV-Kinematic-DataGen.git

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