Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: High-precision target positioning system for unmanned vehicles based on
  binocular vision   Unmanned vehicles often need to locate targets with high precision during
work. In the unmanned material handling workshop, the unmanned vehicle needs to
perform high-precision pose estimation of the workpiece to accurately grasp the
workpiece. In this context, this paper proposes a high-precision unmanned
vehicle target positioning system based on binocular vision. The system uses a
region-based stereo matching algorithm to obtain a disparity map, and uses the
RANSAC algorithm to extract position and posture features, which achives the
estimation of the position and attitude of a six-degree-of-freedom cylindrical
workpiece. In order to verify the effect of the system, this paper collects the
accuracy and calculation time of the output results of the cylinder in
different poses. The experimental data shows that the position accuracy of the
system is 0.61~1.17mm and the angular accuracy is 1.95~5.13{\deg}, which can
achieve better high-precision positioning effect.

35
The categories of this paper are: mtrl-th
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc
25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph
16
The categories of this paper are: stat
9
The categories of this paper are: nlin
6
The categories of this paper are: astro-ph
8
The categories of this paper are: hep-ex
29
The categories of this paper are: funct-an