Welcome to your interview.
The question is on your right: Real Time Vehicle Model Optimization. Take a moment with it first.
Talk your thinking through with me if you like - when you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes). Discussion and graded submissions share your five interviewer interactions, so spend them well.
You are deploying a perception model that must run on a vehicle in real time. You need to balance prediction quality with tight onboard compute and latency limits.
What techniques would you use for model optimization to ensure real-time performance on a vehicle?