$mkdir -p ~/catkin_ws/src
$cd ~/catkin_ws/src
catkin_ws/src$ git clone https://github.com/ganlumomo/MultiLayerMapping.git
catkin_ws/src$ cd ..
catkin_ws$ catkin_make
catkin_ws$ source ~/catkin_ws/devel/setup.bashcatkin_ws$ source /opt/intel/compilers_and_libraries/linux/bin/compilervars.sh intel64
catkin_ws$ catkin_make -DCMAKE_C_COMPILER=icc -DCMAKE_CXX_COMPILER=icpc
catkin_ws$ source ~/catkin_ws/devel/setup.bashMultiLayerMapping/launch$ roslaunch semantics_static.launch MultiLayerMapping/launch$ roslaunch cassie_node.launch
MultiLayerMapping/rviz$ rosrun rviz rviz -d cassie.rvizIf you found this code useful, please cite the following:
Multi-Task Learning for Scalable and Dense Multi-Layer Bayesian Map Inference (PDF)
@ARTICLE{gan2022multi,
title={Multitask Learning for Scalable and Dense Multilayer {Bayesian} Map Inference},
author={Gan, Lu and Kim, Youngji and Grizzle, Jessy W and Walls, Jeffrey M and Kim, Ayoung and Eustice, Ryan M and Ghaffari, Maani},
journal={IEEE Transactions on Robotics},
year={2022},
doi={10.1109/TRO.2022.3197106}
}
Bayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping (PDF)
@ARTICLE{gan2020bayesian,
author={Gan, Lu and Zhang, Ray and Grizzle, Jessy W. and Eustice, Ryan M. and Ghaffari, Maani},
journal={IEEE Robotics and Automation Letters},
title={Bayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping},
year={2020},
volume={5},
number={2},
pages={790-797},
doi={10.1109/LRA.2020.2965390}
}
This repo is mostly based on: