Method

Bird-View Voxel Feature for 3D Detection [BVVF]
[Anonymous Submission]

Submitted on 28 Nov. 2019 09:34 by
[Anonymous Submission]

Running time:0.1 s
Environment:1 core @ 2.5 Ghz (Python + C/C++)

Method Description:
Bird-View Voxel Feature for 3D Detection
Parameters:
\alpha=0.2
Latex Bibtex:

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) 95.65 % 90.15 % 84.95 %
Car (Orientation) 95.55 % 89.77 % 84.48 %
Car (3D Detection) 80.19 % 73.34 % 67.34 %
Car (Bird's Eye View) 91.20 % 85.83 % 80.76 %
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