Table 8.
Outputs of the Neuro-Fuzzy systems for real data when the vehicle is going towards a frontal wall as it is seen in Figure 11b.
| S1 | S2 | S3 | S4 | Id | Neuro-Fuzzy for wall environment feature |
|---|---|---|---|---|---|
| 549.55 | 668.21 | 601 | 638.94 | 0 | 0.4687 |
| 668.21 | 601 | 638.94 | 637.9 | 0 | 0.5081 |
| 601 | 638.94 | 637.9 | 654.7 | 0 | 0.5545 |
| 638.94 | 637.9 | 654.7 | 630.45 | 0 | 0.5813 |
| 637.9 | 654.7 | 630.45 | 697.14 | 0 | 0.5243 |
| 654.7 | 630.45 | 697.14 | 707.88 | 0 | 0.6851 |
| 630.45 | 697.14 | 707.88 | 635.47 | 0 | 0.7460 |
| 697.14 | 707.88 | 635.47 | 722.44 | 0 | 0.5334 |
| 707.88 | 635.47 | 622.44 | 631.1 | 0 | 0.7136 |
| 635.47 | 622.44 | 631.1 | 579.3 | 0 | 0.8089 |