Method

Point-GNN_GT [Point-GNN_GT]
Point-GNN_GT

Submitted on 15 Jan. 2023 22:39 by
Ahmed Driver (Driver Technology)

Running time:5 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
Point-GNN_GT
Parameters:
Point-GNN_GT
Latex Bibtex:
Point-GNN_GT

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 % 93.49 % 88.35 %
Car (Orientation) 38.66 % 37.20 % 36.28 %
Car (3D Detection) 88.33 % 79.47 % 72.30 %
Car (Bird's Eye View) 93.11 % 89.17 % 83.90 %
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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