Method

Point-Voxel 3D Object Detection Using PAN with Moving Region Transformer [PV-PMRTNet]


Submitted on 22 Feb. 2023 04:09 by
Hongqian Ren (Hunan University)

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

Method Description:
1
Parameters:
1
Latex Bibtex:
1

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) 96.03 % 94.73 % 92.19 %
Car (Orientation) 96.02 % 94.60 % 92.00 %
Car (3D Detection) 90.66 % 81.39 % 76.93 %
Car (Bird's Eye View) 94.69 % 90.58 % 86.20 %
Pedestrian (Detection) 68.33 % 59.73 % 57.40 %
Pedestrian (Orientation) 65.67 % 56.18 % 53.52 %
Pedestrian (3D Detection) 46.32 % 41.68 % 38.98 %
Pedestrian (Bird's Eye View) 51.80 % 47.09 % 45.25 %
Cyclist (Detection) 89.07 % 81.12 % 74.38 %
Cyclist (Orientation) 88.91 % 80.65 % 73.85 %
Cyclist (3D Detection) 83.08 % 69.03 % 61.47 %
Cyclist (Bird's Eye View) 85.73 % 72.67 % 65.79 %
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



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



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