Method

Hierarchical Feature Detection (LiDAR only) [la] [SeoulRobotics-HFD]
[Anonymous Submission]

Submitted on 27 Oct. 2018 13:20 by
[Anonymous Submission]

Running time:0.05 s
Environment:GPU @ 2.0 Ghz (Python + C/C++)

Method Description:
Hierarchical Feature Detection on 3D point cloud.
Parameters:
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Latex Bibtex:
-

Detailed Results

Object detection and orientation estimation results. Results for object detection are given in terms of average precision (AP) and results for joint object detection and orientation estimation are provided in terms of average orientation similarity (AOS).


Benchmark Easy Moderate Hard
Car (Detection) 90.02 % 87.86 % 79.95 %
Car (Orientation) 89.88 % 87.34 % 79.32 %
Car (3D Detection) 76.09 % 66.98 % 64.92 %
Car (Bird's Eye View) 87.17 % 85.22 % 77.71 %
This table as LaTeX


2D object detection results.
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Orientation estimation results.
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3D object detection results.
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Bird's eye view results.
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