1http://openslam.org/
OpenSLAM.org does not force the authors to give away the copyright for their code. We only require that the algorithms are provided as source code and that the authors allow the users to use and modify the source code for their own research. Any commercial application, redistribution, etc has to be arranged between users and authors individually.
2http://cvpr.in.tum.de/data/datasets/rgbd-dataset
RGB-D SLAM Dataset and Benchmark
Contact: Jürgen Sturm
We provide a large dataset containing RGB-D data and ground-truth data with the goal to establish a novel benchmark for the evaluation of visual odometry and visual SLAM systems. Our dataset contains the color and depth images of a Microsoft Kinect sensor along the ground-truth trajectory of the sensor. The data was recorded at full frame rate (30 Hz) and sensor resolution (640×480). The ground-truth trajectory was obtained from a high-accuracy motion-capture system with eight high-speed tracking cameras (100 Hz). Further, we provide the accelerometer data from the Kinect. Finally, we propose an evaluation criterion for measuring the quality of the estimated camera trajectory of visual SLAM systems.
3http://vision.ia.ac.cn/Students/gzp/monocularslam.html
Monocular SLAM
The research in monocular SLAM technology is mainly based on the EKF(Extended Kalman Filter) SLAM approaches.
4* http://www.cvpapers.com/rr.html
Computer Vision Algorithm Implementations