Can you please point me to a data set that can be used to validate monocular visual SLAM?
My vision for what this data set looks like is a series of frames, with ground truth pose, ground truth pixel measurements of features, and ground truth positions of all features. I imagine that this would be a synthetic dataset generated in a simulator.
If you think this exists a link would be appreciated, I couldn't turn anything up myself.
Cheers and thanks!
NOTE I am not looking for something like kitti or the tum data sets or some RGB-D datasets, I want ground truth poses, feature measurements, and feature positions.
EDIT I only need this to validate the optimization - not all the other parts of the classic VSLAM pipeline fyi