Method

Multi-View 3D Object Detection Network (LIDAR) [la] [MV3D (LIDAR)]


Submitted on 22 Jun. 2017 02:53 by
Xiaozhi Chen (Tsinghua University)

Running time:0.24 s
Environment:GPU @ 2.5 Ghz (Python + C/C++)

Method Description:
https://arxiv.org/abs/1611.07759

BV+FV network, only LIDAR data is used.

3D evaluation code:
https://github.com/prclibo/kitti_eval
Parameters:
TBD
Latex Bibtex:
@inproceedings{Chen2017CVPR,
title = {Multi-View 3D Object Detection Network for
Autonomous
Driving},
author = {Xiaozhi Chen and Huimin Ma and Ji Wan and
Bo Li and Tian Xia},
booktitle = {CVPR},
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 (Detection) 93.08 % 84.39 % 79.27 %
This table as LaTeX

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




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