Evaluation of Onboard Intelligence Systems DeepASL and SparseSep

In this evaluation, we assess the performance of two onboard intelligence systems - DeepASL and SparseSep. DeepASL is evaluated for performance, time efficiency, memory usage, energy consumption, and user experience, with a focus on accuracy and robustness. SparseSep is analyzed for its performance in terms of accuracy and robustness, memory utilization, time efficiency, energy consumption, and user experience applicability in real-life scenarios. Strengths and weaknesses of both systems are discussed.

• Onboard Intelligence
• DeepASL
• SparseSep
• Performance Evaluation
• Robustness.

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Presentation Transcript

1. Onboard Intelligence XINYU YANG

2. Challenges? 1. Performance (Accuracy, ) 2. Time (Runtime application?) 3. Memory 4. Energy 5. User experience 6.

3. DeepASL

4. DeepASL 1. Performance (Accuracy, ) Compelling experiments? Robustness?

5. DeepASL 2. Time (Runtime application?)

6. DeepASL 3. Memory

7. DeepASL 4. Energy

8. DeepASL 5. User experience Applicable in real life? People (users, developers, ) are willing to use it?

9. DeepASL Other comments? Strengths/Weaknesses?

10. SparseSep

11. SparseSep 1. Performance (Accuracy, ) Will it meet the accuracy requirement? Robustness?

12. SparseSep 2. Memory

13. SparseSep 3. Time

14. SparseSep 4. Energy

15. SparseSep 5. User experience Applicable in real life? People (users, developers, ) are willing to use it?

16. SparseSep Other comments? Strength/Weaknesses?