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Energy-Model-Aware Trajectory Optimization for Autonomous Driving

Features

EMATO Framework in a Frenet System

  • Differentiable energy model
  • Online nonlinear programming (NLP) optimization
  • Integration of traffic and road slope predictions
  • Extensive validation through case studies and quantitative analysis

How to Use

Install CasADi in your Python environment.

For the Frenet environment, use:

python emato/emato/sim/frenet.py

For the ACC test:

python emato/emato/sim/acc.py