Research on Complex Environment Adaptation Technology and Its Algorithm for Intelligent Networked Vehicles
and
Mar 17, 2025
About this article
Published Online: Mar 17, 2025
Received: Oct 17, 2024
Accepted: Jan 26, 2025
DOI: https://doi.org/10.2478/amns-2025-0192
Keywords
© 2025 Fan Luo et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1.
Figure 2.
Figure 3.
Figure 4.
Figure 5.
Test results of YOLOv5s model on BDD100K dataset
| Class | Images | Labels | P/% | R/% | mAP@0.5/% |
|---|---|---|---|---|---|
| All | 4000 | 10399 | 84.27 | 83.93 | 85.05 |
| Car | 1000 | 9321 | 92.57 | 90.18 | 91.95 |
| Truck | 1000 | 254 | 85.92 | 81.62 | 83.69 |
| Pedestrian | 1000 | 372 | 86.53 | 87.20 | 84.33 |
| Cyclist | 1000 | 452 | 83.85 | 85.15 | 82.79 |
Test results of YOLOv5s-CBC model on BDD100K dataset
| Class | Images | Labels | P/% | R/% | mAP@0.5/% |
|---|---|---|---|---|---|
| All | 4000 | 10399 | 89.42 | 88.9 | 90.68 |
| Car | 1000 | 9321 | 95.61 | 94.08 | 93.59 |
| Truck | 1000 | 254 | 90.92 | 88.52 | 87.64 |
| Pedestrian | 1000 | 372 | 89.43 | 91.75 | 89.59 |
| Cyclist | 1000 | 452 | 86.47 | 89.61 | 86.61 |