Research Reproduction · Python
A GA-powered planner used to recover from corner case ADAS scenarios
This repository implements a genetic algorithm-based approach to recover a nominal planner path for a kinematic bicycle vehicle, as specified in ga_nominal_path_recovery_spec.pdf. It includes modules for path representation, vehicle dynamics, scenario generation, objective function, validation, and the GA optimizer, along with experiments and visualization tools.
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