About AlvaAR and its development. about alvaar

[ThorstenBux]

@alanross that would be amazing if we could combine the IMU with the optical tracking. Let me know if you need any kind of help with that.

[ThorstenBux]

Hi @alanross, great project that you have put together. @kalwalt thanks for thinking of me and pinging me on this one.
Would love to explore options. I didn't get it to run yet cause python doesn't want on my Mac and I didn't have the time to setup the certs and stuff to run it without. But looking forward to.
Would be a game changer if we can get this one running performantly and easy accessible. (Thinking R3F component :) )

[nickw1]

@alanross this does look very interesting indeed.

I have started to have a play with this idea (by attempting to port ORB-SLAM to the web) but have had insufficient time to get very far with it.

Will have a go with it myself (time permitting, of course...)

[alanross]

Thanks for sharing @nickw1. There's a few things I see improving the performance of the algorithm doing its work on a January morning in the UK. Try compiling the project with the Clahe flag on, it will handle varying lighting condition way better. It is off by default as it reduces the speed. The other improvement will be IMU support. I'm currently experimenting with finding a robust way to fuse the motion data with the slam pose estimation.

[alanross]

Hi @kalwalt, Thanks for reaching out! There are several things I want to improve that will increase speed and robustness. Also currently many settings are hardcoded that impact both. Let me know what your thoughts are. I'd be happy to chat.

[nickw1]

@kalwalt thanks for informing me of this btw! :-)

[nickw1]

Just a quick update: I tried out the AlvaAR demo out-of-doors today, in poor light conditions (9am in early January in the UK, I think you can imagine what it would be like) and did manage to achieve plane detection and realistic object placement intermittently on roads and pavements.

So some real possibilities for outdoor AR use, I can imagine - particularly as I would guess the detection would be much better in the spring and summer months and/or locations further south.

@alanross thanks again!

[alanross]

@kalwalt you can play around with settings in here in state.hpp. You'll see that changing values there has quite a measurable effect on speed and quality.

[kalwalt]

@kalwalt thanks for informing me of this btw! :-)

You are welcome!

[nickw1]

Thanks for sharing @nickw1. There's a few things I see improving the performance of the algorithm doing its work on a January morning in the UK. Try compiling the project with the Clahe flag on, it will handle varying lighting condition way better. It is off by default as it reduces the speed. The other improvement will be IMU support. I'm currently experimenting with finding a robust way to fuse the motion data with the slam pose estimation.

@alanross many thanks for those tips. I am planning on investigating trying to combine AlvaAR and location-based AR.js to produce realistic placement of geographical objects for outdoor AR use.

[luoxz-ai]

How to separate the scanning scene and model generation into two steps to achieve large scene recognition. Now the recognition area is limited, and it automatically generates the model, which is very uncontrollable.

[kalwalt]

Thank you @alanross for the answer, nice to know, which settings are hard coded?