Record a Lap Using a MATLAB Script
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record, storing, data manipulation, calibration
Record a Lap
After successfully recording the lab, an essential step is to provide quality data for the AI by cleaning and filtering the data (removing noise). These can be achieved through the following.
data manipulation
- Normalization:
The set of steps applied to raw data to make it clean and suitable for analysis or modeling covers tasks like handling missing values, encoding categories, removing outliers, and feature scaling.
| # | Name | Description | Pictures |
|---|---|---|---|
| 1 | Standardization: | Ensuring every image treated is of the same size and dimension |  |
- Pre-processing:
| # | Name | Description | Pictures |
|---|---|---|---|
| 1 | handling missing values: | Check for valid and delete missing steering or frames |  |
| 2 | removing outliers: | Filter and remove unnecessary layers before training (usually needed when fine-tuning). |  |
calibration
There are unusual distortions caused by the camera lens on the image; these distortions can cause noises in the input, hence reducing the AI's accuracy. Fixing these distortions can be done through calibration of the the camera [1]. screenshot
Results
| # | Name | Description | Pictures |
|---|---|---|---|
| 1 | Results: |  |
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