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Diagnose whether a planner should receive raw images or detected lane markings.
Case context: A self-driving pipeline's planner lacks lane-marking information. The team can either feed raw camera images into the planner or add a lane-marking detector whose output goes to the planner.
Question: Which design should the team choose under the task-simplicity principle, and what problem does that choice avoid?
Sample answer: The team should add the lane-marking detector and send its output to the planner. This supplies the important missing lane-marking information while avoiding a planner that must also solve the complex task of interpreting raw camera images.
Key points:
- Choose the lane-marking detector.
- Provide lane-marking information to the planner.
- Avoid requiring the planner to interpret raw images.
- Keep individual component tasks simpler.
Rubric: The response should select the lane-marking detector, identify the missing information it supplies, and explain that direct raw-image input would make the planner overly complex to build or train.
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Easier Component Tasks Need Fewer Training Examples
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Why is a lane-marking detector preferable to sending raw camera images directly to the planner?
Task simplicity concerns how easy each individual pipeline component is to build or learn.
Adding a _____ component gives the planner important information without requiring it to interpret raw images.
Match each self-driving pipeline element with its role under the task-simplicity principle.
Order the reasoning used to select a simpler self-driving pipeline.
Explain how an intermediate detector can make a pipeline easier to build or train.
Diagnose whether a planner should receive raw images or detected lane markings.
What two benefits does the lane-marking detector provide to the planner?
Which pipeline change best follows the recommendation to keep individual component tasks easy?
Sending raw camera images to the planner follows task simplicity because it eliminates an intermediate component.