LSD-SLAM: Large-Scale Direct Monocular SLAM ANDROID
LSD-SLAM is a novel approach to real-time monocular SLAM. It is fully direct (i.e. does not use keypoints / features) and creates large-scale, semi-dense maps in real-time on a laptop. For more information see http://vision.in.tum.de/lsdslam where you can also find the corresponding publications and Youtube videos, as well as some example-input datasets, and the generated output as rosbag or .ply point cloud.
This fork contains Android Version of LSD SLAM, including the JNI files used by https://github.com/striversist/LSDDemo.
Android application has been forked from https://github.com/striversist/LSDDemo.
All dependencies & libraries have been included in JNI folder. I have also placed the NDK compiled version of g2o library (for armeabi & armebi-v7a archs).
I have used ndk-14b for the compilation.
#Recommended: Run ndk-build inside JNI folder before running this app to get fresh compiled libraries..
#Note: All credit goes to authors of lsdslam. My contribution is only related to compilation for Android platform.
