Method

MSIT-Det [MSIT-Det]


Submitted on 19 Jul. 2023 03:49 by
Xi Li (Kitti data package download is mainly used for academic research on unmanned vehicle perception, and)

Running time:0.06 s
Environment:1 core @ 2.5 Ghz (Python + C/C++)

Method Description:
Method
Parameters:
Parameters
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) 97.21 % 94.39 % 86.85 %
Car (Orientation) 97.20 % 94.27 % 86.71 %
Car (3D Detection) 92.11 % 83.27 % 73.81 %
Car (Bird's Eye View) 96.01 % 90.24 % 80.53 %
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.
This figure as: png eps txt gnuplot




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