#'C:\\Users\\pkhomchuk\\My Projects\\UAS - FAA Software\\Tracker\\Radar_3D_4'
                   #'C:\\Users\\pkhomchuk\\My Projects\\UAS - FAA Delivery\\UAS - FAA Software\\Tracker\\Maneuver',
                   #'C:\\Users\\pkhomchuk\\My Projects\\UAS - FAA Delivery\\UAS - FAA Software\\Tracker\\Straight',
                   #'C:\\Users\\pkhomchuk\\My Projects\\UAS - FAA Delivery\\UAS - FAA Software\\Tracker\s\55',
                   '' )

TGT_BEACON = 2332
NMI2FT = 6076.11548

def listFilesInDir( dir, ext ) :
    os.chdir( dir )
    return glob.glob( '*.' + ext )

errors = []
for ind, folder in enumerate( output_folders ) :
    if folder != '' :
        residual_rng_rate = []

        output_file_names = listFilesInDir( folder, 'txt' )
        truth_ind = 0
        for filename in output_file_names :
            output = OutputFile.read( folder + "\\" + filename )
            trk = OutputFile.Track( output, beacon = TGT_BEACON, sensor = 'radar' );
            if trk.dataIsGood :
                residuals = np.ndarray.tolist( NMI2FT * np.transpose( trk.residuals ))
                residual_rng_rate += residuals[ 0 ]

plt.figure( 1 )
plt.boxplot( residual_rng_rate )

plt.show()
示例#2
0
        truth_file_names = listFilesInDir(folder, 'txt')
        for filename in truth_file_names:
            truth = TruthFile.read(folder + '\\' + filename)
            tgt_true[ind].append(TruthFile.Aircraft(truth, beacon=TGT_BEACON))
            own_true[ind].append(TruthFile.Aircraft(truth, beacon=OWN_BEACON))

errors = []
for ind, folder in enumerate(output_folders):
    if folder != '':
        hist_errors = TrkErrors.HistErrors()

        output_file_names = listFilesInDir(folder, 'txt')
        truth_ind = 0
        for filename in output_file_names:
            output = OutputFile.read(folder + "\\" + filename)
            trk = OutputFile.Track(output, rack_id=1, track_type=2)
            if trk.dataIsGood:
                truth_ind = int(
                    math.floor(
                        (int(filename.split('.')[0][3:]) - 1) / N_MONTE_CARLO))
                err = TrkErrors.Errors(own_true[ind][truth_ind],
                                       tgt_true[ind][truth_ind], trk, True)
                hist_errors = hist_errors + err.hist_errors
            #if ind % N_MONTE_CARLO == 0 and ind > 0 :
            #    truth_ind += 1
        errors.append(hist_errors)

n = len(errors)

# Plot horizontal position error
gs = gridspec.GridSpec(1, n)