Method

CG-Stereo[st] [CG-Stereo]


Submitted on 24 Feb. 2020 19:04 by
Chengyao Li (University of Toronto)

Running time:0.57 s
Environment:GeForce RTX 2080 Ti

Method Description:
TBA
Parameters:
TBA
Latex Bibtex:
@article{li2020confidence,
title={Confidence Guided Stereo 3D Object
Detection with
Split Depth Estimation},
author={Li, Chengyao and Ku, Jason and
Waslander,
Steven L},
journal={IROS},
year={2020}
}

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) 96.31 % 90.38 % 82.80 %
Car (Orientation) 96.28 % 89.98 % 82.21 %
Car (3D Detection) 74.39 % 53.58 % 46.50 %
Car (Bird's Eye View) 85.29 % 66.44 % 58.95 %
Pedestrian (Detection) 54.64 % 42.54 % 38.45 %
Pedestrian (Orientation) 48.23 % 36.47 % 32.77 %
Pedestrian (3D Detection) 33.22 % 24.31 % 20.95 %
Pedestrian (Bird's Eye View) 39.24 % 29.56 % 25.87 %
Cyclist (Detection) 69.98 % 48.46 % 42.41 %
Cyclist (Orientation) 60.24 % 40.64 % 35.55 %
Cyclist (3D Detection) 47.40 % 30.89 % 27.23 %
Cyclist (Bird's Eye View) 55.33 % 36.25 % 32.17 %
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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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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2D object detection results.
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Orientation estimation results.
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3D object detection results.
This figure as: png eps pdf txt gnuplot



Bird's eye view results.
This figure as: png eps pdf txt gnuplot




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