Method

Surface Height and Uncertainty based Depth Estimation for Monocular 3D Object Detection [SHUD]


Submitted on 1 Mar. 2024 06:42 by
Ruihan Ji (East China Normal University)

Running time:0.04 s
Environment:1 core @ 2.5 Ghz (Python)

Method Description:
Surface Height and Uncertainty based Depth
Estimation for Monocular 3D Object Detection.
Parameters:
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Latex Bibtex:
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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) 96.57 % 91.28 % 81.36 %
Car (Orientation) 96.45 % 90.86 % 80.74 %
Car (3D Detection) 28.41 % 18.18 % 15.11 %
Car (Bird's Eye View) 36.39 % 23.63 % 20.01 %
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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