Start by clarifying the problem scope and the given controller functions, then outline a modular design that separates safety evaluation, longitudinal control, and simulation stepping. Emphasize that you will use the provided controllers as black boxes and focus on the decision logic and time integration. Finally, discuss trade-offs and validation.
Pro tip: Explicitly state that you will treat the provided controllers as immutable interfaces and design around them, showing respect for constraints and modularity. This demonstrates you can work within existing systems without reinventing the wheel.
Ask questions to understand the expected inputs/outputs, the two controller functions (e.g., one for lane-change decision, one for acceleration modulation), and the simulation environment. Confirm that you must use them as-is.
Define criteria for a safe lane change (e.g., gaps, relative speeds, time-to-collision) and implement a function that uses sensor data and the provided decision controller to output a boolean or probability.
When a lane change is unsafe, use the provided acceleration controller to compute a safe longitudinal acceleration (e.g., to maintain distance or slow down). Ensure the controller is called with appropriate inputs.
Advance the scene using longitudinal kinematics: update positions and velocities based on the chosen acceleration over a time step. Loop this process to simulate the scenario.
Talk about edge cases (e.g., sensor noise, controller latency), performance considerations, and how you would test the system (unit tests, simulation scenarios).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.