6D-VNet: End-to-End 6-DoF Vehicle Pose Estimation From Monocular RGB Images

Di Wu, Zhaoyong Zhuang, Canqun Xiang, Wenbin Zou, Xia Li. 6D-VNet: End-to-End 6-DoF Vehicle Pose Estimation From Monocular RGB Images. In IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019. pages 49-58, Computer Vision Foundation / IEEE, 2019. [doi]

@inproceedings{WuZXZL19a,
  title = {6D-VNet: End-to-End 6-DoF Vehicle Pose Estimation From Monocular RGB Images},
  author = {Di Wu and Zhaoyong Zhuang and Canqun Xiang and Wenbin Zou and Xia Li},
  year = {2019},
  url = {http://openaccess.thecvf.com/content_CVPRW_2019/html/Autonomous_Driving/Wu_6D-VNet_End-to-End_6-DoF_Vehicle_Pose_Estimation_From_Monocular_RGB_Images_CVPRW_2019_paper.html},
  researchr = {https://researchr.org/publication/WuZXZL19a},
  cites = {0},
  citedby = {0},
  pages = {49-58},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019},
  publisher = {Computer Vision Foundation / IEEE},
}