• DOI:10.1109/CVPRW.2019.00158
Corpus ID: 119181576

Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds

@article{Simon2019ComplexerYOLOR3,
  title={Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds},
  author={M. Simon and Karl Amende and Andrea Kraus and J. Honer and Timo S{\"a}mann and Hauke Kaulbersch and S. Milz and H. Gro{\ss}},
  journal={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  year={2019},
  pages={1190-1199}
}

M. Simon, Karl Amende, +5 authors H. Groß

Published 2019

Computer Science

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Accurate detection of 3D objects is a fundamental problem in computer vision and has an enormous impact on autonomous cars, augmented/virtual reality and many applications in robotics. [...] Key Method Additionally, we introduce Scale-Rotation-Translation score (SRTs), a fast and highly parameterizable evaluation metric for comparison of object detections, which speeds up our inference time up to 20\% and halves training time.Expand Abstract

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