Lidar2camera calibration: code does not match with your paper

[xiahaa]

hi, thanks for sharing this repository. however, i do find the code of lidar2camera calibration does not match with what has been described in your paper.

1. p3l is mentioned to be used for coarse calibration, while i did not find any code related to p3l;
2. idt is mentioned to be used for cost formulation, while i did not find any code related to idt;

i tried to perturb the extrinsics a little bit, say +/- 1 degree. the implementation cannot give me any improvements, actually, the extrinsics stays the same before and after calibration.

is it the real implementation mentioned in your paper?

[xiaokn]

hi, thanks for sharing this repository. however, i do find the code of lidar2camera calibration does not match with what has been described in your paper.

1. p3l is mentioned to be used for coarse calibration, while i did not find any code related to p3l;
2. idt is mentioned to be used for cost formulation, while i did not find any code related to idt;

i tried to perturb the extrinsics a little bit, say +/- 1 degree. the implementation cannot give me any improvements, actually, the extrinsics stays the same before and after calibration.

is it the real implementation mentioned in your paper?

Sorry, for some reason, I deleted this part of the code and will add it later.

[HuangVictorAuto]

@xiaokn , auto lidar2camera calibration, we have to prepare to mask the images, but when i setup the conda env as required and run the merge_mask.py, the program will be stuck and no masked image will output. Is there any step, that i have missed?

[russellyq]

Hi @xiaokn and @HuangVictorAuto

I meet the same problem. Did you solve it ?

[Muxindawang]

hi, thanks for sharing this repository. however, i do find the code of lidar2camera calibration does not match with what has been described in your paper.

1. p3l is mentioned to be used for coarse calibration, while i did not find any code related to p3l;
2. idt is mentioned to be used for cost formulation, while i did not find any code related to idt;

i tried to perturb the extrinsics a little bit, say +/- 1 degree. the implementation cannot give me any improvements, actually, the extrinsics stays the same before and after calibration. is it the real implementation mentioned in your paper?

Sorry, for some reason, I deleted this part of the code and will add it later.

hi, thanks for sharing this repository. however, i do find the code of lidar2camera calibration does not match with what has been described in your paper.

1. p3l is mentioned to be used for coarse calibration, while i did not find any code related to p3l;
2. idt is mentioned to be used for cost formulation, while i did not find any code related to idt;

i tried to perturb the extrinsics a little bit, say +/- 1 degree. the implementation cannot give me any improvements, actually, the extrinsics stays the same before and after calibration. is it the real implementation mentioned in your paper?

Sorry, for some reason, I deleted this part of the code and will add it later.

Therefore, when will it be added? I also encountered the same problem in use, which could not be corrected after making a deviation of 1 degree.

[zw-92]

@xiaokn , auto lidar2camera calibration, we have to prepare to mask the images, but when i setup the conda env as required and run the merge_mask.py, the program will be stuck and no masked image will output. Is there any step, that i have missed?，自动Lidar2Camera校准，我们必须准备屏蔽图像，但是当我根据需要设置Conda Env并运行merge_mask.py时，程序将卡住并且不会输出遮罩图像。有什么步骤，我错过了吗？

我也遇到了,您解决了吗.