Bounding Box Dataset Augmentation for Long-Range Object Distance Estimation

Marten Franke, Vaishnavi Gopinath, Chaitra Reddy, Danijela Ristić-Durrant, Kai Michels; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2021, pp. 1669-1677

Abstract


Autonomous long-range obstacle detection and distance estimation plays an important role in numerous applications such as railway applications when it comes to locomotive drivers support or developments towards driverless trains. To overcome the problem of small training datasets, this paper presents two data augmentation methods for training the ANN DisNet to perform reliable longrange distance estimation.

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[bibtex]
@InProceedings{Franke_2021_ICCV, author = {Franke, Marten and Gopinath, Vaishnavi and Reddy, Chaitra and Risti\'c-Durrant, Danijela and Michels, Kai}, title = {Bounding Box Dataset Augmentation for Long-Range Object Distance Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {1669-1677} }