Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
I am trying to preprocess some extra KITTI odometry sequences for DynSLAM. I've gotten so far as to be able to generate the dispnet-based depths and the MNC-based semantic segmentation masks, and can run DynSLAM with the right combination of flags.
I'd like to be able to also generate and use ELAS-based depths. I have cloned https://github.com/AndreiBarsan/libelas-tooling and have been able to get to the point where I can have kitti2klg create a directory of .ppm and .pgm files. However, it appears that DynSLAM expects to find the ELAS depths in an XML format.
I have combed through the various processing scripts to find clues for the right way to perform that last step of the conversion, but haven't found anything. Any hints?
I am trying to preprocess some extra KITTI odometry sequences for DynSLAM. I've gotten so far as to be able to generate the dispnet-based depths and the MNC-based semantic segmentation masks, and can run DynSLAM with the right combination of flags.
I'd like to be able to also generate and use ELAS-based depths. I have cloned https://github.com/AndreiBarsan/libelas-tooling and have been able to get to the point where I can have
kitti2klg
create a directory of.ppm
and.pgm
files. However, it appears that DynSLAM expects to find the ELAS depths in an XML format.I have combed through the various processing scripts to find clues for the right way to perform that last step of the conversion, but haven't found anything. Any hints?