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CLiFF-LHMP

CLiFF-LHMP is a pattern-based human motion prediction approach. Provided with maps of dynamics, the method predicts human motion in a long term.

  1. The following two datasets are supported:

Part of both datasets are put in dataset folder for demo. The dataset files provided are pre-processed. The downsample rate is 2.5 Hz. Maps are also included for visualizing the prediction results.

  1. Two prediction approaches are supported:
  • CLiFF-LHMP: use maps of dynamics for prediction
  • CVM: use constant velocity model for prediction
  1. To run the demo:
poetry run python main.py

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