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

Submitted on 14 Nov. 2016 05:19 by
Xiaozhi Chen (Tsinghua University)

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

Method Description:

BV+FV network, only LIDAR data is used.

3D evaluation code:
Latex Bibtex:
title = {Multi-View 3D Object Detection Network for
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) 89.01 % 79.17 % 78.09 %
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