what techniques might improve vslam performance?
I have implemented the vslam_system and am in the process of testing it with some of my own data sets. I was wondering if there are any plans to improve the computational speed in the future. At the moment the computational performance is very acceptable in the beginning of a run and typically taking about 12.51 ms between frames, but eventually (after approximately 100 frames), it slows down to upwards of 890 ms between frames.