Method

Depth Estimation from Surface-Ground Correspondence for Monocular 3D Object Detection [MonoSGC]


Submitted on 29 Feb. 2024 09:21 by
J YS (无)

Running time:0.04 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
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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) 94.21 % 91.10 % 83.45 %
Car (Orientation) 94.14 % 90.62 % 82.58 %
Car (3D Detection) 27.01 % 16.77 % 14.61 %
Car (Bird's Eye View) 35.78 % 23.27 % 19.92 %
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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