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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    References

    SHOWING 1-10 OF 55 REFERENCES
    PIXOR: Real-time 3D Object Detection from Point Clouds
    • 314
    • PDF
    Multi-view 3D Object Detection Network for Autonomous Driving
    • 896
    • PDF
    3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection
    • 161
    • PDF
    Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking
    • 77
    • PDF
    Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
    • 223
    • PDF
    Frustum PointNets for 3D Object Detection from RGB-D Data
    • 755
    • PDF
    SECOND: Sparsely Embedded Convolutional Detection
    • 285
    • PDF
    Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering
    • 59
    • PDF
    BirdNet: A 3D Object Detection Framework from LiDAR Information
    • 81
    • Highly Influential
    • PDF
    Joint 3D Proposal Generation and Object Detection from View Aggregation
    • 462
    • PDF