Method

DeepLidarMultiBranch - LidarOnly [la][on] [DLMB]
[Anonymous Submission]

Submitted on 23 Jan. 2019 11:21 by
[Anonymous Submission]

Running time:0.03 s
Environment:8 cores @ 3.5 Ghz (C/C++)

Method Description:
Only LiDAR detection method with a fusion of two different point-wise Deep Learning binary classification branches. The bounding box extraction is performed using geometric methods.
Parameters:
beta1 = 0.9, beta2 = 0.99
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) 59.32 % 48.76 % 43.19 %
Car (Orientation) 25.31 % 21.69 % 18.75 %
Car (3D Detection) 15.16 % 14.49 % 12.94 %
Car (Bird's Eye View) 45.12 % 37.10 % 32.88 %
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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