Event-based dataset for classification and pose estimation

Journal article

J. Turner, J. Pedersen, J. Conradt, Thomas Nowotny
Neuro Inspired Computational Elements Workshop, 2022

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APA Click to copy
Turner, J., Pedersen, J., Conradt, J., & Nowotny, T. (2022). Event-based dataset for classification and pose estimation. Neuro Inspired Computational Elements Workshop.

Chicago/Turabian Click to copy
Turner, J., J. Pedersen, J. Conradt, and Thomas Nowotny. “Event-Based Dataset for Classification and Pose Estimation.” Neuro Inspired Computational Elements Workshop (2022).

MLA Click to copy
Turner, J., et al. “Event-Based Dataset for Classification and Pose Estimation.” Neuro Inspired Computational Elements Workshop, 2022.

BibTeX Click to copy

@article{j2022a,
  title = {Event-based dataset for classification and pose estimation},
  year = {2022},
  journal = {Neuro Inspired Computational Elements Workshop},
  author = {Turner, J. and Pedersen, J. and Conradt, J. and Nowotny, Thomas}
}

Abstract

We present a new data processing pipeline for automatically labelled stereo vision data. The method is based on 3D positioning of 3D printed props with active LED markers. It provides both RGB frame and event-based data, automatically annotated with segmentation masks and ground truth position and orientation data.