Thanks for posting the ssl fix. We're looking into this. We don't typically use rosdep for anything. Is there something specific you need to get working?
A more traditional ROS experience is easy to achieve running Ubuntu in a Docker on VOXL : https://docs.modalai.com/docker-on-voxl/
The system was tested in VIO mode for 20 minutes before shipping. All drones are very sensitive to frame modifications, so this needs to be done carefully
Your understanding is correct, ModalAI's supported configurations are a result of Qualcomm limitations
You should be able to use the open source PX4 avoidance, but it may require a bit of an atypical architecture. When trying to use big ROS projects we recommended running Ubuntu on VOXL in Docker
The base Yocto layer should be ROS core and expose the VIO and depth from stereo modules:
Then the Ubuntu OS in the Docker should subscribe to the appropriate hardware layer topics to execute the PX4 Autonomy
We should have this better documented, but keep asking on this thread and we'll try to get you going. Shouldn't be any major blockers, but a few tweaks are probably necessary.
You can see an example of how to write telemetry on top of a video frame here
https://gitlab.com/voxl-public/modal-pipe-architecture/voxl-qvio-server/-/blob/master/server/main.cpp#L715
It would have shipped with everything tested and working. What do you mean by "passed the wizard"?
posted a few basics in the docs https://docs.modalai.com/voxl-tflite-server/
You can see exactly where the image comes in her: https://gitlab.com/voxl-public/modal-pipe-architecture/voxl-tflite-server/-/blob/master/server/threads.cpp#L105
We haven't tried the Avoidance stack in a while, so it's probably going to come down to what you are more comfortable with. If you are comfortable with Gazebo, SITL might be a good way to go.
The trick with ROS always comes down to making sure all of the nodes are talking to each other. There is a good tutorial on debugging ROS here
You'll want to have a list of the ROS topics the Ubuntu PX4 Avoidance stack requires, and then a list of the ROS topics the yocto base layer is providing. Then you'll need to map the two together.
You should only have one roscore, which should likely be in the Yocto layer. Your PC implementation should be able to see that if you have ROS_IP, etc configured properly.
The most valuable tool right now will probably be rostopic list and rostopic echo. Run ros topic on each of the layers:
Make sure you see the proper topics in each location and that they are publishing data.
Regarding stereo, I don't think that PX4 docs section is applicable. That RosDfsExample node should already be publishing a disparity map and point cloud. You can see it is publishing the disparity map here and point cloud here
We do not have a thermal option available today, though the Flir Boson and Lepton have been integrated by customers in the past using USB
Stereo cameras need to be co-planar and mounted rigidly. Then they need to be calibrated. Otherwise you should be able to mount wherever convenient
It is the way for software to tell which TOF driver should be used. Setting to 1 supports the HAL3 method you are using, setting to 0 supports the older libCamera method using tof_cam_ros
The HAL3 method is intended to give the developer more control over the pipeline
Can you please share details about your setup? Which hardware and software are you using for instance? Do you have a screen capture from voxl-portal or QGC?
these issues don't seem to be common.
Which version of software are you using?
What else is running? Those data fell behind errors indicate that too much is running on the cpu. Can you test while also running voxl-inspect-cpu?
We will post here when documentation is ready. In the meantime, the voxl-tag-detector is working with code available here
Those are the specs from the vendor, we don't have any more information, sorry. The intensity image is published in MPA so you could perform a calibration on it to find out more details.
Have you followed the tutorial at https://docs.modalai.com/mavros ?
No, but the code for that utility can be found here, seems like a great feature to add!
Also, QGroundControl likely logs that same information
The M0026 IMX377 has an M12 mount lens. There are hundreds of compatible lenses out there for that module.
Some folks have used the SD Card, though it's really slow. The recommended approach would be to build it off target, compress it, then copy it over to target
We have never seen this and cannot reproduce. We have not tried 1.12, but stock 1.11 on flight core should behave as any other px4 hardware platform as far as the ekf_aid_mask is concerned
Can you share your full parameters file and associated log files? Maybe you have other parameters that are conflicting