AlejandroSilvestri

Well, in Frame every undistorted keypoint is added to the vector mvKeysUn, and its descriptors to mDescriptors, at the same index. You can remove some of them. But if you...

@faywong, those are great news! Do you have a video? Can we see how fast/slow it runs in mapping and in localization?

@MasterHansCoding I don't know any mobile orbslam implementation working at a decent speed. JNI is the native interface. There's nothing faster than native. A full Java orbslam will be much...

@MasterHansCoding Great paper! I am actually working in a visual slam partition. In 2022 we succeded on running a preprocessor on an old mobile and the rest on a backend....

This question is related to autowarefoundation/autoware#196

Orb-slam 2 doesn't do it. Your video is an example of the paper Probabilistic Semi-Dense Mapping from Highly Accurate Feature-Based Monocular SLAM. The software is based on orb-slam2, but is...

LSD-SLAM is very good actually. We can say it's ORB-SLAM main "competitor". These two algorithm work on different bases, with its own weaknesses and strengths.

@hashten is right! See autowarefoundation/autoware_ai#675 About IMU integration, taking absolute measurements is possible with IMU, Raúl Mur already did it in Visual inertial Monocular SLAM: https://www.youtube.com/watch?v=rdR5OR8egGI and the paper https://arxiv.org/pdf/1610.05949.pdf...

I believe you mean DSO. I didn't profile any of them, but I believe DSO will work faster an with less memory than ORB-SLAM2. DSO isn't SLAM, it will use...

@M1234Thomas , as a simplificated answer, I'd say NO, they cannot be integrated. Of course they can, but there is no point in doing it. Until someone discover the benefit...