Neural Behavioral Prediction
Phase 3 synchronizes the perception engine with predictive behavioral models. We utilize deep reinforcement learning to train the vehicle not just to "see" obstacles, but to "anticipate" their intent, especially in chaotic urban environments.
The Intent-Prediction Engine:
By correlating the velocity and trajectory history of vulnerable road users (VRUs), the system can predict likely movements (e.g., a pedestrian stepping onto the road). This allows for a proactive "Cognitive Sync" where the car adjusts its trajectory 500ms before a hazard becomes a collision risk.