Start by clarifying the scope and goals of the navigation system with the interviewer, then propose a high-level framework that addresses user needs, technical feasibility, and business impact. Focus on how the system improves efficiency and safety in servicing autonomous vehicles, and iterate based on feedback.
Pro tip: Emphasize the unique constraints of autonomous vehicles, such as sensor calibration and software updates, and how the navigation system can integrate with existing fleet management tools to provide a seamless experience for technicians.
Ask questions to understand the specific needs of the garages, such as the types of vehicles, common servicing tasks, and current pain points. Define what 'internal navigation' means in this context—whether it's for technicians, autonomous vehicles, or both.
Determine the primary users (e.g., technicians, service managers, autonomous vehicles) and their key tasks, such as locating vehicles, moving them between stations, or finding tools. Prioritize use cases based on frequency and impact.
Outline a high-level system that could include indoor positioning, real-time tracking, and a user interface for navigation. Consider integration with existing systems like fleet management or work order software.
Discuss potential technologies (e.g., UWB, LiDAR, computer vision) and challenges like accuracy, cost, and scalability. Consider how the system would handle dynamic environments and safety protocols.
Suggest metrics such as time saved per service, reduction in vehicle damage, or technician satisfaction. Outline a plan for MVP and iterative improvements based on feedback.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.