3D FCN [la] [3D FCN]

Submitted on 24 Jul. 2017 13:14 by
David Stutz (Max Planck Institute for Intelligent Systems)

Running time:>5 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:

Originally submitted anonymously.
Latex Bibtex:
title = {3D Fully Convolutional Network for Vehicle
in Point Cloud},
author = {Bo Li},
booktitle = {IROS},
year = {2017}

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 (Bird's Eye View) 70.62 % 61.67 % 55.61 %
This table as LaTeX

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

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