An interpretable, iterative decision system for low-speed autonomous driving
ENJOO combines neural network perception, heuristic rule-based decision-making, and an Agent evolution loop,
turning every real-world run into a source of continuous system improvement.
Neural perception understands the environmentRule-based decisions define safety boundariesAgent analyzes logs and replaysRegression tests protect proven capability
System 1Perception Layer
Multi-sensor fusion / state estimation
System 2Decision Layer
Rule strategy / safety boundaries