Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Vision-Based Navigation I: A navigation filter for fusing
  DTM/correspondence updates   An algorithm for pose and motion estimation using corresponding features in
images and a digital terrain map is proposed. Using a Digital Terrain (or
Digital Elevation) Map (DTM/DEM) as a global reference enables recovering the
absolute position and orientation of the camera. In order to do this, the DTM
is used to formulate a constraint between corresponding features in two
consecutive frames. The utilization of data is shown to improve the robustness
and accuracy of the inertial navigation algorithm. Extended Kalman filter was
used to combine results of inertial navigation algorithm and proposed
vision-based navigation algorithm. The feasibility of this algorithms is
established through numerical simulations.

12
The categories of this paper are: nucl-th
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
19
The categories of this paper are: eess
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th