Method

BSH-Det3D: Improving 3D Object Detection with BEV Shape Heatmap [BSH-Det3D]


Submitted on 1 Mar. 2023 01:46 by
Shen you (NEUC)

Running time:0.05 s
Environment:1 core @ 2.5 Ghz (Python + C/C++)

Method Description:
BEV shape completion
Parameters:
TBA
Latex Bibtex:
TBA

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) 96.34 % 95.02 % 92.36 %
Car (Orientation) 96.31 % 94.85 % 92.13 %
Car (3D Detection) 88.75 % 81.91 % 77.36 %
Car (Bird's Eye View) 92.90 % 90.99 % 86.43 %
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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