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Autonomous Driving Pipeline Encodes Simpler Subtasks
An autonomous-driving pipeline can encode three key driving steps: detect other cars, detect pedestrians, and plan a path. Each step is a relatively simpler function and can be learned with less data than a purely end-to-end approach.
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Autonomous Driving Pipeline Encodes Simpler Subtasks
Why can an autonomous-driving pipeline perform far below human level even when each of its components individually operates near human level?
True or False: In an autonomous-driving pipeline, every component—including path planning—must use a machine-learned model.
Adding a _____ detector to an autonomous-driving pipeline can supply missing road-context information to the path planner without requiring the planner to consume raw camera images.
What are the three components in the simple autonomous driving pipeline described in Machine Learning Yearning?
True or False: Every component in a machine learning pipeline must be a learned model.
When an autonomous driving pipeline underperforms overall despite each component being near human-level, adding a _____ detector can supply the missing information.
Match each autonomous driving pipeline component to its role in the pipeline.
Order the reasoning steps for diagnosing why an autonomous driving pipeline underperforms humans despite each sub-component being individually strong.
If each sub-component of an autonomous driving pipeline is near human-level given its inputs but the full system underperforms humans, what is the most likely cause?
True or False: According to Machine Learning Yearning, obtaining training data for car and pedestrian detectors is relatively easy due to existing datasets and crowdsourcing.
Machine Learning Yearning states that _____ (such as Amazon Mechanical Turk) can be used to obtain larger labeled datasets for training car and pedestrian detectors.
Match each pipeline diagnosis concept to its correct description in the autonomous driving example.
Order the steps for fixing an information gap in the autonomous driving pipeline by adding a lane-marking detector.
Explain how to address an information gap in an autonomous driving pipeline.
Diagnose pipeline failure in an autonomous vehicle system.
Explain the benefit of using a lane-marking detector in a pipeline.
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Which three key steps does the autonomous-driving pipeline encode, according to Machine Learning Yearning?
True or False: Each step in the autonomous-driving pipeline is a relatively simpler function that can be learned with less data than a purely end-to-end approach.
The autonomous-driving pipeline tells the algorithm that there are _____ key steps to driving.
Which three steps does the autonomous driving pipeline encode as key driving tasks, according to Machine Learning Yearning?
Each subtask in the autonomous driving pipeline requires more training data than a purely end-to-end approach would require.
The autonomous driving pipeline tells the algorithm that there are _____ key steps to driving.
Match each autonomous driving pipeline step to its primary function.
Place the three key driving steps in the order listed in Andrew Ng's autonomous driving pipeline in Machine Learning Yearning.
Why can each step in the autonomous driving pipeline be learned with less data than a purely end-to-end approach?
Using an autonomous driving pipeline explicitly tells the learning algorithm which key subtasks are involved in driving.
The third key step in the autonomous driving pipeline, after detecting cars and pedestrians, is to _____ for your car.
Match each concept to its description in the context of the autonomous driving pipeline from Machine Learning Yearning.
Order the reasoning steps a developer follows when deciding to use a pipeline approach for autonomous driving, from first to last.
Analyze the connection between function simplicity and data requirements in an autonomous driving pipeline.
Architecting a self-driving vehicle with a restricted dataset.
Describe the function complexity of each step in the autonomous driving pipeline relative to an end-to-end approach.