The KITTI Vision Benchmark Suite

This method estimates egocentric vehicle
orientation from a single RGB image using
intermediate geometric representations. Only the
training split (3,682 images) is used during
training and no additional labels in any form is
used.

\confidence_threshold=0.1

@InProceedings{Li_2021_CVPR,
author = {Li, Shichao and Yan, Zengqiang and Li,
Hongyang and Cheng, Kwang-Ting},
title = {Exploring intermediate representation
for monocular vehicle pose estimation},
booktitle = {The IEEE/CVF Conference on Computer
Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2021}
}