Comments (3)
llihku
commented on June 3, 2024
感谢你对这个工作的关注！
- 推荐挪动一下采集一帧数据直到满足6～8帧数据，但如果能保证处理好连续采集数据可能出现的问题(比如数据不同步、点云运动畸变)，那么连续采集也是可以的。相机类型无限制，但暂时没有给鱼眼/全景相机做过测试，不确定是否有同样高的精度。
- 可以。
- 近期会尽快上传一个视频讲解如何用COLMAP进行自标定(同时涵盖了相机姿态估计)。
from joint-lidar-camera-calib.
llihku
commented on June 3, 2024
感谢你对这个工作的关注！
- 推荐挪动一下采集一帧数据直到满足6～8帧数据，但如果能保证处理好连续采集数据可能出现的问题(比如数据不同步、点云运动畸变)，那么连续采集也是可以的。相机类型无限制，但暂时没有给鱼眼/全景相机做过测试，不确定是否有同样高的精度。
- 可以。
- 近期会尽快上传一个视频讲解如何用COLMAP进行自标定(同时涵盖了相机姿态估计)。
COLMAP使用视频已经上传
from joint-lidar-camera-calib.
Tony-TF
commented on June 3, 2024
感谢您的回答
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Related Issues (8)
- expectation HOT 7
- In the paper, it is mentioned that solid-state LiDAR is stationary for 3 seconds to collect data on a pose, so how should 16-line LiDAR collect data on a pose HOT 5
- Calibration Performance - İmplementation on KITTI Dataset HOT 2
- Unable to open config.yaml HOT 2
- Input point cloud has no data HOT 1
- calib.refine_scale_ext() This step reports an error HOT 2
- catkin_make error: undefined reference to tf::TransformBroadcaster::sendTransform, missing tf in cmakelist of balm,在balm的cmakelist里缺少tf HOT 1
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