Method

Realtime 3D Object Detection using Stereo and Semantic Information [st] [RT3DStereo]
[Anonymous Submission]

Submitted on 17 Apr. 2019 18:01 by
[Anonymous Submission]

Running time:0.08 s
Environment:GPU @ 2.5 Ghz (C/C++)

Method Description:
RT3DStereo
Parameters:
RT3DStereo
Latex Bibtex:
RT3DStereo

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) 57.56 % 48.92 % 42.81 %
Car (Orientation) 25.54 % 22.24 % 19.33 %
Car (3D Detection) 28.50 % 24.10 % 20.32 %
Car (Bird's Eye View) 59.32 % 49.48 % 43.16 %
Pedestrian (Detection) 44.54 % 32.01 % 31.50 %
Pedestrian (Orientation) 23.20 % 19.84 % 19.57 %
Pedestrian (3D Detection) 4.27 % 4.25 % 4.26 %
Pedestrian (Bird's Eye View) 5.39 % 5.30 % 5.19 %
Cyclist (Detection) 23.73 % 17.66 % 11.94 %
Cyclist (Orientation) 6.60 % 5.26 % 3.68 %
Cyclist (3D Detection) 6.62 % 6.63 % 4.03 %
Cyclist (Bird's Eye View) 7.70 % 7.59 % 7.51 %
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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