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why do the "line[-1] = angle_offset +np.arctan(float(line[11]) / float(line[13]))" ?? #33

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SeoJaeMin opened this issue Dec 10, 2018 · 3 comments

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@SeoJaeMin
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I don't know why you using the kitti GT annotation during inference??
That term "line[11], line[13]" are from kitti GT annotation.

@yingsen1
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i have the same question, and i wonder: we caculate translation T through yaw angle. But we obtain yaw through local_yaw (by network) + arctan(Tx/Tz). i am confused about that. or am i wrong?

@marshallixp
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In the test function of main.py, the predicted value is not used for evaluation. So, the result is confused and doubted.

@LC041336
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LC041336 commented Sep 16, 2019

Maybe the original paper is the best answer. The paper shows that "theta = theta_ray + theta_l".theta is the yaw of the vehicle, theta_ray is arctan(X_camera_coordinate / Z_camera_coordinate),theta_l is the local orientation.
So the angle_offset in the code refers to the theta_l, which is the result of CNN.

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