Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing
  Environment   This paper addresses the problem of learning instantaneous occupancy levels
of dynamic environments and predicting future occupancy levels. Due to the
complexity of most real-world environments, such as urban streets or crowded
areas, the efficient and robust incorporation of temporal dependencies into
otherwise static occupancy models remains a challenge. We propose a method to
capture the spatial uncertainty of moving objects and incorporate this
uncertainty information into a continuous occupancy map represented in a rich
high-dimensional feature space. Experiments performed using LIDAR data verified
the real-time performance of the algorithm.

33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn
25
The categories of this paper are: patt-sol
29
The categories of this paper are: funct-an
2
The categories of this paper are: math
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
23
The categories of this paper are: solv-int
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin
5
The categories of this paper are: gr-qc
14
The categories of this paper are: math-ph