Table A5.
Tracking metrics for PCE 50 (MWIR daytime) case. 1500 m and 3000 m were used for training.
| 1000 m | 2500 m | ||||||||
| Vehicles | EinGT | CLE | DP@20 Pixels | % Detections | Vehicles | EinGT | CLE | DP@20 Pixels | % Detections |
| BMP2 | 0.00 | ND | 0% | 0% | BMP2 | 1.00 | 10.30 | 100% | 40% |
| BRDM2 | 1.00 | 26.45 | 1% | 22% | BRDM2 | 0.00 | 57.55 | 0% | 20% |
| BTR70 | 1.00 | 26.29 | 9% | 13% | BTR70 | 0.00 | 64.52 | 0% | 12% |
| SUV | 1.00 | 17.08 | 78% | 6% | SUV | 0.15 | 52.81 | 15% | 4% |
| T72 | 1.00 | 34.35 | 0% | 44% | T72 | 0.00 | 90.20 | 0% | 0% |
| Truck | 1.00 | 26.79 | 33% | 1% | Truck | 0.00 | ND | 0% | 0% |
| ZSU23-4 | 1.00 | 27.80 | 2% | 37% | ZSU23-4 | 0.67 | 32.38 | 67% | 2% |
| 1500 m | 3000 m | ||||||||
| Vehicles | EinGT | CLE | DP@20 Pixels | % Detections | Vehicles | EinGT | CLE | DP@20 Pixels | % Detections |
| BMP2 | 1.00 | 22.96 | 13% | 35% | BMP2 | 0.97 | 9.11 | 99% | 28% |
| BRDM2 | 1.00 | 19.59 | 55% | 84% | BRDM2 | 0.92 | 9.02 | 95% | 55% |
| BTR70 | 1.00 | 18.08 | 79% | 71% | BTR70 | 0.95 | 8.38 | 96% | 74% |
| SUV | 0.95 | 13.30 | 97% | 18% | SUV | 0.77 | 14.09 | 87% | 20% |
| T72 | 1.00 | 25.45 | 2% | 92% | T72 | 0.99 | 8.46 | 100% | 75% |
| Truck | 1.00 | 16.80 | 81% | 28% | Truck | 0.85 | 13.79 | 87% | 36% |
| ZSU23-4 | 1.00 | 29.09 | 39% | 94% | ZSU23-4 | 0.93 | 9.39 | 95% | 75% |
| 2000 m | 3500 m | ||||||||
| Vehicles | EinGT | CLE | DP@20 Pixels | % Detections | Vehicles | EinGT | CLE | DP@20 Pixels | % Detections |
| BMP2 | 1.00 | 14.96 | 97% | 10% | BMP2 | 0.00 | 41.93 | 0% | 1% |
| BRDM2 | 1.00 | 13.34 | 92% | 7% | BRDM2 | 0.00 | 65.25 | 6% | 5% |
| BTR70 | 0.00 | ND | 0% | 0% | BTR70 | 0.00 | 47.56 | 8% | 11% |
| SUV | 0.00 | ND | 0% | 0% | SUV | 0.00 | 40.59 | 12% | 9% |
| T72 | 1.00 | 18.18 | 84% | 16% | T72 | 0.00 | 6.23 | 100% | 19% |
| Truck | 0.00 | ND | 0% | 0% | Truck | 0.00 | 45.27 | 38% | 4% |
| ZSU23-4 | 1.00 | 13.09 | 100% | 8% | ZSU23-4 | 0.00 | 56.06 | 13% | 26% |