Method

Ped_Net [Ped_Net]
[Anonymous Submission]

Submitted on 20 Jul. 2025 08:17 by
[Anonymous Submission]

Running time:0.5 s
Environment:GPU @ 2.5 Ghz (Python + C/C++)

Method Description:
3d od model
Parameters:
after publication
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
Pedestrian (Detection) 60.54 % 50.96 % 48.78 %
Pedestrian (Orientation) 56.92 % 47.15 % 44.59 %
Pedestrian (3D Detection) 43.42 % 35.75 % 33.05 %
Pedestrian (Bird's Eye View) 48.22 % 40.27 % 37.90 %
This table as LaTeX


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



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



3D object detection results.
This figure as: png eps txt gnuplot



Bird's eye view results.
This figure as: png eps txt gnuplot




eXTReMe Tracker