Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss
insights
- 3DIou loss
- Homoscedastic noise
- Heteroscedastic noise
- 3D框的representation
重要结论
- distance 越远其variance越大很容易想
- 而对于图像中的车框,越远车框变化越小,而越近变化越大,所以variance近大远小