3D Lane Detection On Apollo Synthetic 3D Lane
المقاييس
F1
X error far
X error near
Z error far
Z error near
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
اسم النموذج | F1 | X error far | X error near | Z error far | Z error near |
---|---|---|---|---|---|
persformer-3d-lane-detection-via-perspective-1 | 92.9 | 0.356 | 0.054 | 0.234 | 0.010 |
gen-lanenet-a-generalized-and-scalable | 88.1 | 0.496 | 0.061 | 0.214 | 0.012 |
anchor3dlane-learning-to-regress-3d-anchors | 95.6 | 0.306 | 0.052 | 0.223 | 0.015 |
anchor3dlane-learning-to-regress-3d-anchors | 95.4 | 0.299 | 0.048 | 0.220 | 0.013 |
reconstruct-from-top-view-a-3d-lane-detection-1 | 91.9 | 0.387 | 0.049 | 0.213 | 0.008 |
curveformer-3d-lane-detection-by-curve | 95.8 | 0.326 | 0.078 | 0.219 | 0.018 |
lanecpp-continuous-3d-lane-detection-using-1 | 97.4 | 0.277 | 0.030 | 0.206 | 0.011 |
bev-lane-det-fast-lane-detection-on-bev | 96.9 | 0.242 | 0.016 | 0.216 | 0.02 |
learning-to-predict-3d-lane-shape-and-camera | 91.9 | 0.361 | 0.061 | 0.25 | 0.029 |
3d-lanenet-end-to-end-3d-multiple-lane | 86.4 | 0.477 | 0.068 | 0.202 | 0.015 |