AHG LIDAR Data Visualization for IRL
Dependencies:
- numpy
- matplotlib
Recreating information:
- ut-walrus-output.pickle contains the rosbag information in pickle format and includes obstacle and trajectory data.
- The pickle data can be parsed using pickle_parse.py
- The point cloud data in binary is present in full_map_binary.npy and can be visualized using plot_grid.py
Solves the network-wide contraflow lane reversal problem using three different methodologies . The problem is analougus to many Network Design Problems (NDP).
The network and demand data is provided as in TNTP data format.
To run use: python3 -m experiments.{name of the file without extension}
Requirements: gurobipy, networkx, scipy, numpy, pwlf