DeepTrailerAssist: Deep Learning Based Trailer Detection, Tracking and Articulation Angle Estimation on Automotive Rear-View Camera

Ashok Dahal, Jakir Hossen, Sumanth Chennupati, Ganesh Sistu, Kazumi Malhan, Muhammad Amasha, Senthil Kumar Yogamani

ICCVW 2019 pp. 2339-2346

doi:10.1109/ICCVW.2019.00287 /iccvw/2019/dahal2019iccvw-deeptrailerassist/

Abstract

Trailers are commonly used for transport of goods and recreational materials. Even for experienced drivers, manoeuvres with trailers, especially reversing can be complex and stressful. Thus driver assistance systems are very useful in these scenarios. They are typically achieved by a single rear-view fisheye camera perception algorithms. There is no public dataset for this problem and hence there is very little academic literature on this topic. This motivated us to present all the trailer assist use cases in detail and propose a deep learning based solution for trailer perception problems. Using our proprietary dataset comprising of 11 different trailer types, we achieve a reasonable detection accuracy using a lightweight real-time network running at 30 fps on a low power embedded system. The dataset will be released as a companion to our recently published dataset [24] to encourage further research in this area.

ICCVW Semantic Scholar

Cite

Text

Dahal et al. "DeepTrailerAssist: Deep Learning Based Trailer Detection, Tracking and Articulation Angle Estimation on Automotive Rear-View Camera." IEEE/CVF International Conference on Computer Vision Workshops, 2019. doi:10.1109/ICCVW.2019.00287

Markdown

[Dahal et al. "DeepTrailerAssist: Deep Learning Based Trailer Detection, Tracking and Articulation Angle Estimation on Automotive Rear-View Camera." IEEE/CVF International Conference on Computer Vision Workshops, 2019.](https://mlanthology.org/iccvw/2019/dahal2019iccvw-deeptrailerassist/) doi:10.1109/ICCVW.2019.00287

BibTeX

@inproceedings{dahal2019iccvw-deeptrailerassist,
  title     = {{DeepTrailerAssist: Deep Learning Based Trailer Detection, Tracking and Articulation Angle Estimation on Automotive Rear-View Camera}},
  author    = {Dahal, Ashok and Hossen, Jakir and Chennupati, Sumanth and Sistu, Ganesh and Malhan, Kazumi and Amasha, Muhammad and Yogamani, Senthil Kumar},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2019},
  pages     = {2339-2346},
  doi       = {10.1109/ICCVW.2019.00287},
  url       = {https://mlanthology.org/iccvw/2019/dahal2019iccvw-deeptrailerassist/}
}