[insert cool codename here] Ames Bielenberg David Saltzman.

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Presentation transcript:

[insert cool codename here] Ames Bielenberg David Saltzman

Overview Accurate localization using external markers Point cloud processing to create 3D map

Odometry error

Data matrix ABC

Known marker positions

ROS datamatrix Package

EKF using external tags kinect datamatrix frames Map manager rel. xform EKF robot pose Known tag positions

Robot control Robot controlled manually A web-interface for driving/navigation ROS rosbridge browser JS

Forming point clouds Kinect gives us points with position and color We can aggregate these into a point cloud.

Processing point clouds Transform points to world frame Cull excess and noisy data Write data to file Visualize data in web interface – XB PointStream (WebGL)

Point Cloud Library

references media/odometry/odom_errors.svg

?