forked from Archive/PX4-Autopilot
estimator_innovations: remove unimplemented fake vel & pos fields
- easy to readd if and when they're needed
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@ -13,12 +13,6 @@ float32 ev_vvel # vertical external vision velocity innovation (m/sec) and in
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float32[2] ev_hpos # horizontal external vision position innovation (m) and innovation variance (m**2)
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float32 ev_vpos # vertical external vision position innovation (m) and innovation variance (m**2)
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# Fake Position and Velocity
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float32[2] fake_hvel # fake horizontal velocity innovation (m/s) and innovation variance ((m/s)**2)
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float32 fake_vvel # fake vertical velocity innovation (m/s) and innovation variance ((m/s)**2)
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float32[2] fake_hpos # fake horizontal position innovation (m) and innovation variance (m**2)
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float32 fake_vpos # fake vertical position innovation (m) and innovation variance (m**2)
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# Height sensors
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float32 rng_vpos # range sensor height innovation (m) and innovation variance (m**2)
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float32 baro_vpos # barometer height innovation (m) and innovation variance (m**2)
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@ -582,8 +582,7 @@ void EKF2::PublishInnovations(const hrt_abstime ×tamp, const imuSample &imu
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_ekf.getHaglInnov(innovations.hagl);
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// Not yet supported
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innovations.aux_vvel = NAN;
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innovations.fake_hpos[0] = innovations.fake_hpos[1] = innovations.fake_vpos = NAN;
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innovations.fake_hvel[0] = innovations.fake_hvel[1] = innovations.fake_vvel = NAN;
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innovations.timestamp = _replay_mode ? timestamp : hrt_absolute_time();
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_estimator_innovations_pub.publish(innovations);
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@ -622,8 +621,6 @@ void EKF2::PublishInnovationTestRatios(const hrt_abstime ×tamp)
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_ekf.getHaglInnovRatio(test_ratios.hagl);
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// Not yet supported
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test_ratios.aux_vvel = NAN;
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test_ratios.fake_hpos[0] = test_ratios.fake_hpos[1] = test_ratios.fake_vpos = NAN;
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test_ratios.fake_hvel[0] = test_ratios.fake_hvel[1] = test_ratios.fake_vvel = NAN;
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test_ratios.timestamp = _replay_mode ? timestamp : hrt_absolute_time();
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_estimator_innovation_test_ratios_pub.publish(test_ratios);
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@ -648,8 +645,6 @@ void EKF2::PublishInnovationVariances(const hrt_abstime ×tamp)
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_ekf.getHaglInnovVar(variances.hagl);
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// Not yet supported
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variances.aux_vvel = NAN;
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variances.fake_hpos[0] = variances.fake_hpos[1] = variances.fake_vpos = NAN;
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variances.fake_hvel[0] = variances.fake_hvel[1] = variances.fake_vvel = NAN;
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variances.timestamp = _replay_mode ? timestamp : hrt_absolute_time();
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_estimator_innovation_variances_pub.publish(variances);
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