Method

PointPillars [la] [PointPillars]
[Anonymous Submission]

Submitted on 16 Nov. 2018 11:46 by
[Anonymous Submission]

Running time:16 ms
Environment:1080ti GPU and Intel i7 CPU

Method Description:
TBD
Parameters:
TBD
Latex Bibtex:
TBD

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) 90.33 % 89.22 % 87.04 %
Car (Orientation) 90.19 % 88.76 % 86.38 %
Car (3D Detection) 79.05 % 74.99 % 68.30 %
Car (Bird's Eye View) 88.35 % 86.10 % 79.83 %
Pedestrian (Detection) 64.66 % 55.68 % 53.93 %
Pedestrian (Orientation) 58.05 % 49.66 % 47.88 %
Pedestrian (3D Detection) 52.08 % 43.53 % 41.49 %
Pedestrian (Bird's Eye View) 58.66 % 50.23 % 47.19 %
Cyclist (Detection) 82.59 % 68.57 % 62.37 %
Cyclist (Orientation) 82.43 % 68.16 % 61.96 %
Cyclist (3D Detection) 75.78 % 59.07 % 52.92 %
Cyclist (Bird's Eye View) 79.14 % 62.25 % 56.00 %
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.
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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.
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