Measuring and Optimising Image Quality
End-of-module quiz for the AutoSens ‘Measuring and Optimising Image Quality’ module.
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Question 1 of 19
1. Question
True or False: Image quality assessment depends on the situation / use case.
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Question 2 of 19
2. Question
Which image trait is defined by the total number of pixels in an image?
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Question 3 of 19
3. Question
Which image trait is defined by the total number of intensity levels in an image?
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Question 4 of 19
4. Question
Which factor influences image quality?
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Question 5 of 19
5. Question
Which trait least influences tone/color quality?
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Question 6 of 19
6. Question
Which trait least influences image structure quality?
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Question 7 of 19
7. Question
What is occuring when a road obstace is determined to be present?
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Question 8 of 19
8. Question
True or False: Random classifiers are the best algorithms.
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Question 9 of 19
9. Question
Which component can be part of an ADAS system?
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Question 10 of 19
10. Question
What standards body is developing ADAS image quality KPI’s?
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Question 11 of 19
11. Question
What type of organization is involved in ADAS image quality standards development?
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Question 12 of 19
12. Question
Which is not a Y2022 ADAS image quality KPI?
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Question 13 of 19
13. Question
What is the ‘observer’ in an ADAS system?
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Question 14 of 19
14. Question
Which KPI assesses the range of captured scene luminance?
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Question 15 of 19
15. Question
Which KPI assesses the impact of stray light on contrast?
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Question 16 of 19
16. Question
Which KPI assesses sensitivity to temporal signal changes?
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Question 17 of 19
17. Question
Which KPI assesses unwanted variations in system output?
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Question 18 of 19
18. Question
Which KPI assesses sharpness?
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Question 19 of 19
19. Question
Which KPI assesses assesses distortion of scene object position?
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