Method

Tencent_ADlab_Lidar[la] [Tencent_ADlab_Lidar]


Submitted on 12 Jan. 2019 04:57 by
Timothy Huang (BUPT)

Running time:0.1 s
Environment:GPU @ 2.5 Ghz (Python + C/C++)

Method Description:
Tencent ADLab Lidar Perception.
BY Chen Ren, Zhang Xu, Sun Yinjian, Huang Tian
TBA
Parameters:
TBA
Latex Bibtex:
TBA

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
Pedestrian (Detection) 66.91 % 56.49 % 54.06 %
Pedestrian (Orientation) 44.01 % 37.23 % 35.54 %
Pedestrian (3D Detection) 47.87 % 39.47 % 36.35 %
Pedestrian (Bird's Eye View) 56.06 % 47.24 % 44.61 %
Cyclist (Detection) 82.74 % 67.82 % 61.06 %
Cyclist (Orientation) 81.05 % 65.85 % 59.17 %
Cyclist (3D Detection) 73.69 % 57.15 % 50.17 %
Cyclist (Bird's Eye View) 78.91 % 62.34 % 55.37 %
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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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.
This figure as: png eps pdf txt gnuplot




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