Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Constant Space Complexity Environment Representation for Vision-based
  Navigation   This paper presents a preliminary conceptual investigation into an
environment representation that has constant space complexity with respect to
the camera image space. This type of representation allows the planning
algorithms of a mobile agent to bypass what are often complex and noisy
transformations between camera image space and Euclidean space. The approach is
to compute per-pixel potential values directly from processed camera data,
which results in a discrete potential field that has constant space complexity
with respect to the image plane. This can enable planning and control
algorithms, whose complexity often depends on the size of the environment
representation, to be defined with constant run-time. This type of approach can
be particularly useful for platforms with strict resource constraints, such as
embedded and real-time systems.

22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
4
The categories of this paper are: cond-mat
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph