Bayesian Dynamic Fields: 3D Velocity Maps for Uncertain Dynamic Urban Environments
March 28, 2021 ยท View on GitHub

Example Configurations
The Bayesian Dynamic Felds (BDFs) training and plotting module provides a way to quickly save and load experiment configurations via the configs folder. This can be done by setting --config [config_file_name] to load a config, or --save_config [save_to_path] to save a config.
python spatun.py --config 1_toy1_vel --mode tqp
Example Outputs
Interactive Plots (download the html files and interact with the plots using your mouse)