Method

Structure Aware Single-stage 3D Object Detection from Point Cloud [SA-SSD]
https://github.com/skyhehe123/SA-SSD

Submitted on 15 Oct. 2019 15:11 by
Chenhang HE (The Hong Kong Polytechnic University)

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

Method Description:
TBD.
Parameters:
TBD.
Latex Bibtex:
@inproceedings{he2020sassd,
title={Structure Aware Single-stage 3D Object Detection from Point Cloud},
author={He, Chenhang and Zeng, Hui and Huang, Jianqiang and Hua, Xian-Sheng and Zhang, Lei},
booktitle={CVPR},
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) 97.92 % 95.16 % 90.15 %
Car (Orientation) 39.40 % 38.30 % 37.07 %
Car (3D Detection) 88.75 % 79.79 % 74.16 %
Car (Bird's Eye View) 95.03 % 91.03 % 85.96 %
This table as LaTeX

2D object detection results.
This figure as: png eps pdf txt gnuplot



Orientation estimation results.
This figure as: png eps pdf txt gnuplot



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




eXTReMe Tracker