LSD-SLAM: Large-Scale Direct Monocular SLAM ANDROID

• You can download the APK(Experimental) and test it right away.
• I modified an old project to make it usable today (2024).
• This project is licensed under the GPL 3.0 license.
  
  

README of the Original Project

forked: https://github.com/omair18/LSD-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.