Method

GHost___3d [GHos_3d]


Submitted on 18 Nov. 2022 19:31 by
Ahmed Dawy (Alexandria University)

Running time:0.1 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
BEV
Parameters:
y!=0
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) 92.60 % 81.89 % 72.18 %
Car (Orientation) 91.42 % 80.00 % 69.60 %
Car (Bird's Eye View) 0.00 % 0.00 % 0.00 %
Pedestrian (Detection) 58.82 % 43.10 % 38.56 %
Pedestrian (Orientation) 45.53 % 33.25 % 29.56 %
Cyclist (Detection) 49.83 % 34.56 % 30.90 %
Cyclist (Orientation) 39.49 % 27.83 % 24.59 %
This table as LaTeX


2D object detection results.
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Orientation estimation results.
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2D object detection results.
This figure as: png eps txt gnuplot



Orientation estimation results.
This figure as: png eps txt gnuplot



2D object detection results.
This figure as: png eps txt gnuplot



Orientation estimation results.
This figure as: png eps txt gnuplot




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