Research Article
Automatic Parking Controller with a Twin Artificial Neural Network Architecture
Table 2
Selected examples of generated training dataset.
| Case no. | Parking slot length (m) | RRP position (x, y) (m) | Number of gear change | Time to complete parking |
| 1 | SL = 5.4 | (6.4, 1.0) | 0 | 5.71 | 2 | SL = 5.2 | (6.2, 1.0) | 1 | 6.71 | 3 | SL = 5.0 | (6.0, 1.0) | 1 | 7.06 | 4 | SL = 4.8 | (5.8, 1.0) | 1 | 7.43 | 5 | SL = 4.6 | (5.6, 1.0) | 2 | 8.74 | 6 | SL = 4.4 | (5.4, 1.0) | 4 | 10.75 | 7 | SL = 5.4 | (7.2, 1.8) | 0 | 6.26 | 8 | SL = 5.2 | (7.0, 1.8) | 1 | 7.26 | 9 | SL = 5.0 | (6.8, 1.8) | 1 | 7.71 | 10 | SL = 4.8 | (6.6, 1.8) | 2 | 8.99 | 11 | SL = 4.6 | (6.4, 1.8) | 2 | 9.39 | 12 | SL = 4.4 | (6.2, 1.8) | 4 | 11.16 |
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