radarize_demo.mp4
- Ubuntu 20.04
- ROS Noetic
- Conda with Python 3.8
- CUDA >= 11.3 capable GPU.
- ImageMagick
- Install conda environment with
conda env create -f env.yaml
. - Source environment
conda activate radarize_ae
and thenpip install -e .
. - Install cartographer_ros. Inside
cartographer/
,configuration_files/
andlaunch/
into<catkin_ws>/install_isolated/share/cartographer_ros/
. - Source conda environment (if not already) and cartographer_ros environment.
conda activate radarize_ae
source <catkin_ws>/install_isolated/setup.bash
- Download the dataset
dataset.zip
from the link and unzip into this directory. - Download the saved models outputs
eval.zip
from link and unzip into this directory.
To generate results in the paper, run the top-level script
./run_eval.sh
Then,
- Run
./slam_eval.sh
to get the SLAM metrics. - Run
./odom_eval.sh
to get the odometry metrics.
./run.sh