Method

Grid-aware 3D Object Detector based on Point Cloud [GT3D]


Submitted on 15 Oct. 2022 12:42 by
sun yang (ncepu)

Running time:0.1 s
Environment:1 core @ 2.5 Ghz (Python)

Method Description:
Grid-aware 3D Object Detector based on Point Cloud
Parameters:
GT3D
Latex Bibtex:
GT3D

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) 96.58 % 95.51 % 92.80 %
Car (Orientation) 96.57 % 95.43 % 92.67 %
Car (3D Detection) 91.45 % 82.76 % 79.74 %
Car (Bird's Eye View) 95.05 % 91.31 % 86.67 %
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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