Method

MonoDistill [MonoDistill]
[Anonymous Submission]

Submitted on 13 Nov. 2021 14:47 by
[Anonymous Submission]

Running time:0.04 s
Environment:1 core @ 2.5 Ghz (Python)

Method Description:
we propose a simple and effective scheme to
introduce the spatial information from LiDAR signals
to the monocular 3D detectors, without introducing
any extra cost in the inference phase.
Parameters:
alpha=0.2
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) 95.92 % 90.81 % 81.08 %
Car (Orientation) 95.82 % 90.33 % 80.38 %
Car (3D Detection) 22.97 % 16.03 % 13.60 %
Car (Bird's Eye View) 31.87 % 22.59 % 19.72 %
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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