Drivable Area Detection
The drivable area detection is a subset topic of object detection. The model marks the safe and legal roads for regular driving in color blocks shaped by area.
Papers
Showing 11–12 of 12 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | YOLOPv2 | mIoU | 93.2 | — | Unverified |
| 2 | TwinLiteNetPlus-Large | mIoU | 92.9 | — | Unverified |
| 3 | TriLiteNet-base | mIoU | 92.4 | — | Unverified |
| 4 | TwinLiteNetPlus-Medium | mIoU | 92 | — | Unverified |
| 5 | YOLOP | mIoU | 91.5 | — | Unverified |
| 6 | TwinLiteNet | mIoU | 91.3 | — | Unverified |
| 7 | A-YOLOM(s) | mIoU | 91 | — | Unverified |
| 8 | TwinLiteNetPlus-Small | mIoU | 90.6 | — | Unverified |
| 9 | HybridNets | mIoU | 90.5 | — | Unverified |
| 10 | TwinLiteNetPlus-Nano | mIoU | 87.3 | — | Unverified |