Your question is ML Inference Under Constraints. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Given a requirement for an autonomous navigation module, how would you design a scalable ML inference pipeline that operates under strict onboard compute constraints?