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@ -49,7 +49,7 @@ class LocationEstimator: |
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self.debug = debug |
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self.debug = debug |
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self.posenet_stds = [POSENET_STD_INITIAL_VALUE] * (POSENET_STD_HIST_HALF * 2) |
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self.posenet_stds = np.array([POSENET_STD_INITIAL_VALUE] * (POSENET_STD_HIST_HALF * 2)) |
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self.car_speed = 0.0 |
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self.car_speed = 0.0 |
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self.camodo_yawrate_distribution = np.array([0.0, 10.0]) # mean, std |
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self.camodo_yawrate_distribution = np.array([0.0, 10.0]) # mean, std |
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self.device_from_calib = np.eye(3) |
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self.device_from_calib = np.eye(3) |
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@ -168,8 +168,8 @@ class LocationEstimator: |
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if np.linalg.norm(rot_calib_std) > 10 * ROTATION_SANITY_CHECK or np.linalg.norm(trans_calib_std) > 10 * TRANS_SANITY_CHECK: |
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if np.linalg.norm(rot_calib_std) > 10 * ROTATION_SANITY_CHECK or np.linalg.norm(trans_calib_std) > 10 * TRANS_SANITY_CHECK: |
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return HandleLogResult.INPUT_INVALID |
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return HandleLogResult.INPUT_INVALID |
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self.posenet_stds.pop(0) |
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self.posenet_stds = np.roll(self.posenet_stds, -1) |
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self.posenet_stds.append(trans_calib_std[0]) |
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self.posenet_stds[-1] = trans_calib_std[0] |
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# Multiply by N to avoid to high certainty in kalman filter because of temporally correlated noise |
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# Multiply by N to avoid to high certainty in kalman filter because of temporally correlated noise |
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rot_calib_std *= 10 |
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rot_calib_std *= 10 |
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