Building an Autonomous Indoor Visual SLAM System using an iRobot and Kinect
Chase Lewis Mentor: Xin Li, Kang Zhang
Building an Autonomous Indoor Visual SLAM System using an iRobot - - PowerPoint PPT Presentation
Building an Autonomous Indoor Visual SLAM System using an iRobot and Kinect Chase Lewis Mentor: Xin Li, Kang Zhang Kinect and iRobot System Simultaneous Localization and Mapping Creating a 3d map while tracking the location of the robot
Chase Lewis Mentor: Xin Li, Kang Zhang
Simultaneous Localization and Mapping
Creating a 3d map while tracking the location of the robot in said map Algorithms and image processing techniques
Algorithms
Speeded Up Robust Feature (SURF) Random Sample Consensus (RANSAC)
This material is based upon work supported by the National Science Foundation under award OCI-1560410 with additional support from the Center for Computation & Technology at Louisiana State University.
OpenCV: http://opencv.org/ Kinect Image Library: http://vision.in.tum.de/ Feature Detection Support: http://pyimagesearch.com/