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This is the type of accuracy test I have been looking for for these low-cost gyroscope/accelerometer ICs. This is the only test someone really needs to see before deciding on purchasing.

how u correct the error to GPS at 0:40 and specially at 1:37

@Spectacular AI thank you for your contribution! I follow you step, but after i run "sai-cli process MY_INPUT_PATH MY_OUTPUT_PATH", i got and error"mapping failed: no output generated" I tried on three different video of Spectacular REC, my iphone is 15pro, I don't know what happend, could you please tell me?

Hi! Please tell me, can the program work with the 3d scanner "creality scan Ferret pro" to scan the room?

it is so similar to RTABMAP

Impressive ...!!! Thank You for sharing .. Cheers :)

Okay. It's cool but put your jargon into layman's terms. What is the significance of this flight path? You told the drone to fly around and not crash?

Love it! Did you test it on a high altitude mission?

Very interesting! I wonder if there would be any chance to test/evaluate this with your sdk on our drone ?

Will it be supported in opensource sdk. .

👍

what iphone did you use here

Astra 2 ，It has the best 3D restration capability，especially corners

Have you achieved colors for OAK cameras?!

Thank you

I try to use SpectacutarAI but after recording data from an android smartphone, when I launch s "sai-process" it get on two different computer (1 on windows(portable computer) , 1 on linux(GPU server) : SpectacularAI ERROR: x:441 Abandon (core dumped) I don't know what to do.

@SpectacularAI how can I process without OAK-D? any other way to use such devices

Very nice! Is the lidar used for SLAM tracking and bundle adjustment?

LOVE this presentation- awesome!!

Which one would you recommend for indoor use? Astra 2 or Femto? I am interested in having the higher resolution possible. Thank you!

I thought this is same but a little different. If someone just want to 6 axis about motion, it doesn't matter, is it? In the event of vr, it doesn't matter. also If someone more improvement somethings, get a good things. But this video is interesting ;)

The link provided just directs us to this video which tells us to install the requirements.txt. There is no requirements.txt in the git hub repo. Help. ​ @SpectacularAI

Can this be done on a mac studio m2?

how much is this equipment? is a budget solution to scan and bring a house or small company to a 3d model?

I can't seem to find the requirements.txt file and i do pip install spectacularAI and it doesn't work. Please help!

VRAM required?

But we cant use gaussian splats in any video editing software. They are awesome but pretty much are useless

Is the ios app source available for customization?

iOS app and tutorial video released! th-cam.com/video/d77u-E96VVw/w-d-xo.html

Hii, can we implement real time mapping just like shown in the video with just Real Sense D455 camera. I dont have the OAK-D.

Please share settings of the Kinect and RTAB-Map. And did you use standalone RTAB-Map or ROS with RTAB-Map?

I try，but it shows “SpectacularAI WARN: VIO may be running too slow, data is being input too fast, or IMU samples are missing / time-offset from frames. (buffer size 10)”.How to slove？

Nice

Dang, ARCore is rock solid the whole time lol

Very impressive. What kind of hardware configuration is used to integrate RTK data?

Cool. Now I am just going to buy a 40$ second handed screen-cracked Sharp R5G with TOF sensor as the depth camera and the computing board for my project to run ARCORE.

I would like to do this with a trail mapping bike - outdoors. Is this possible with an OAK-D-Pro?

It's really interesting to compare the results you can get in a VISLAM with a 2 euro IMU and a 150 euro IMU. Depending on your means and desired performance, you can easily choose one IMU or the other thanks to this comparison.

can i get more information about GPS, ZED fusion? or any github rep anthing about fusion. please help. i want to more detail...

Great work! 👍I've been following SpectacularAI's sdk for a long time and have tried to apply oak's examples to my drones. But the results would drift badly. The camera I'm using is also oak-d-pro-w, do I need imu calibration, or some other action to achieve the results in the video?

Was the µc Raspberry Pico just there to interface with the camera ? Or was there an algorithm on it ? Tanks and congratulations for the results !

did you add support for ARMhF?

Very cool! Fusing the optical data with the IMU to dead reckon. Wish that Murata was cheaper... Jw why no 3d mag?

Thanks for posting this - I have a question: in the first test, the light grey is ground truth. The red and the blue tracks - are those from IMU *alone*, or are they from SLAM with the corresponding IMU. (if they're from IMU alone, that's incredible to me...way better than I expect). Thanks!

Can you make the hardware setup opensource. I am unable to find low cost visual inertial sensor setup currently.

Very impressive stuff.

Could you tell us what computer set-up you used for the data acquisition while walking around? I'd love to do the same here in my town but haven't come across a mobile computer that could handle the data in real-time (+ a small monitor to observe the whole process).

cool, will that be colored?