Method

MPCF [MPCF]
https://github.com/ELOESZHANG/MPCF--3d_object_detection

Submitted on 11 May. 2024 05:51 by
Pan Gao (University of Electronic Science and Technology of China)

Running time:0.08 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
We propose a new cross-fusion framework based on
color point cloud, the multiphase cross-feature
fusion framework (MPCD), for 3D target detection in
LiDAR point cloud and image.
Parameters:
MPCF
Latex Bibtex:
@article{MPCF,
title = {MPCF: Multi-Phase Consolidated Fusion for
Multi-Modal 3D Object Detection with Pseudo Point
Cloud},
author={Pan Gao and Ping Zhang},
year = {2024}
}

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) 98.95 % 95.87 % 90.98 %
Car (Orientation) 98.94 % 95.78 % 90.88 %
Car (3D Detection) 92.46 % 85.50 % 80.69 %
Car (Bird's Eye View) 95.92 % 92.07 % 87.29 %
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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