Question: In a concise analytical response, compare feeding raw camera images to a path planner with first using a lane-marking detector. Explain why the latter better satisfies task simplicity.

Sample answer: Feeding raw camera images directly to the path planner would require that module to interpret the image as well as perform planning, giving it a very complex task. A lane-marking detector instead extracts important, previously missing lane information and passes it to the planner. This decomposition keeps the individual components easier to build or learn and avoids making one module overly complex to build or train.

Key points:

• Raw-image input makes the path planner's task very complex.
• The lane-marking detector supplies important missing information.
• The intermediate component prevents one module from becoming overly complex.
• Task simplicity favors components that are individually easy to build or learn.

Rubric: A strong response accurately compares both designs, identifies the complexity imposed by raw-image input, explains the information supplied by the detector, and connects the preferred design to individually simpler component tasks.