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        "author": "Steven H. Wang",
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        "description": "# pedestrian_prediction\nRealtime, confidence-varying trajectory prediction for \"Probabilistically Safe Robot Planning with Confidence-Based Human Predictions\". RSS '18\n\n## Installation\n```\ngit clone https://github.com/sirspinach/pedestrian_prediction.git\ncd pedestrian_prediction\npip install -e .\n```\n\n## Module contents\n  * `pp.mdp`: Data structures and value iteration algorithms for two types of GridWorlds -- a standard GridWorld with only lateral and diagonal movement, and a GridWorldExpanded in which actions operate in \"gridless\" continuous space but are snapped to the nearest grid cell.\n  * `pp.inference`: Algorithms for inferring destinations, occupancies, and states given a GridWorld, a list of destinations, and the pedestrian's trajectory so far.\n  * `pp.util`: Utilities for parsing and trajectory manipulation.\n  * `pp.plots`: Plot simulated trajectories, overlayed with heatmaps of predicted states. Produce some test plots by executing `python -m pp.plot`. (Requires plotly)",
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