Back to AI/MLGenerates a path from current position to destination Considers obstacles, traffic rules, and comfort Works in real-time (milliseconds) Adapts to changing conditions Executes steering, acceleration, and braking commands Smooth and comfortable for passengers Precise enough for safe navigation Responds to unexpected situations Planning uses perception outputs (occupancy, vectors) Control receives planned paths Both are optimized for safety and comfort Continuous feedback loop for improvement Balancing safety with efficiency Handling edge cases Real-time performance requirements Ensuring smooth passenger experience
Planning & Control
Planning and Control are the final stages of the autonomous driving pipeline, responsible for generating safe driving paths and executing them.
Planning
Control
Integration
Challenges
Tesla's planning and control systems are continuously improved through fleet data collection and neural network training.