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I'm picking up ROS to write a launch files to run live metric reconstruction (no semantic annotation yet) via the Intel RealSense T265 (tracking provided by two grayscale fisheye cameras). Running into a few issues:
I saw from previous issues that camera pose is provided via the sensor_frame argument according to the Voxblox node documentation. I recorded my current TF graph (published from the realsense-ros node) .
Unfortunately, there is no frame called world being published, which is the default argument for world_frame - what should I set world_frame and sensor_frame to?
Since the T265 doesn't provide depth information, I'm setting run_stereo_dense to true to obtain depth predictions via stereo_image_proc. Unfortunately, the node is throwing errors since it requires RGB stereo input, while the T265 only provides grayscale pairs. Do you know of any alternatives to this package?
Thanks!
The text was updated successfully, but these errors were encountered:
I ask my self if your errors with stereo_image_proc are because you didn't calibrate the camera. If you use t265 as an stereo camera, getting the depth from the L&R streamings, you must do it. Rtabmap will give you a easy way, but there is a few reliable ways .
T265 streamings are RGB, (RGB8) I think stereo_image_proc should work with the calibration.
Stereo depth from a t265 in a SBC or embebed computer will be a hard job, but probably you are using a desktop.
The ideal should be a d435 if you need a easy and performance friendly way.
Im not a expert, so please take my comment as just a way more to explore.
I guess myself what you mean with "live metric reconstruction" could you link for me a example, video, paper to it?
Ahh, world frame is basically related to a GPS frame, should be better use the map frame, which apply better for indoors map, were probably kimera is more used. Rtabmap will give you a map frame in the top of the frame tree, you can republish with the world name, with same TF 0,0,0 0,0,0
I'm picking up ROS to write a launch files to run live metric reconstruction (no semantic annotation yet) via the Intel RealSense T265 (tracking provided by two grayscale fisheye cameras). Running into a few issues:
sensor_frame
argument according to the Voxblox node documentation. I recorded my current TF graph (published from the realsense-ros node).
Unfortunately, there is no frame called
world
being published, which is the default argument forworld_frame
- what should I setworld_frame
andsensor_frame
to?run_stereo_dense
to true to obtain depth predictions via stereo_image_proc. Unfortunately, the node is throwing errors since it requires RGB stereo input, while the T265 only provides grayscale pairs. Do you know of any alternatives to this package?Thanks!
The text was updated successfully, but these errors were encountered: