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Re:Apple enters the augmented reality fray with ARKit for iOS by enos_feedler on Monday June 05, 2017 @11:43PM (#14494582)
Does anyone have resources for "State of the art" algorithms and research that is used to do the sensor fusion (camera frames + motion sensor data)? I found this but not sure its the most up to date. I'm also looking for more detail in terms of code:

http://user.it.uu.se/~thosc112/pubpdf/holsgs2006.pdf

Re:Apple enters the augmented reality fray with ARKit for iOS by steinomri on Wednesday June 07, 2017 @08:11AM (#14505599)
It seems that ARkit is actually using SLAM as the core technology (in parts, the same technology is being used in autonomous cars and navigating drones). Getting it to work on mobile phones is quite challenging and had been the subject of much research in recent years, some good starting points (with code): ORB-SLAM - https://github.com/raulmur/ORB_SLAM2, https://www.youtube.com/watch?v=T-9PYCKhDLM DSO - https://github.com/JakobEngel/dso, https://www.youtube.com/watch?v=C6-xwSOOdqQ VINS - https://github.com/HKUST-Aerial-Robotics/VINS-Mobile, https://www.youtube.com/watch?v=0mTXnIfFisI&feature=youtu.be

(the last one being released just a few days ago...)

Of course there are a lot more resources out there and a lot of the cutting edge research is involved with deep learning techniques (starting with e.g. https://github.com/alexgkendall/caffe-posenet).

You may also want to watch out for this conference http://cvpr2017.thecvf.com/ scheduled for the end of this month and is usually a good source of cutting edge research...