Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field   Autonomous vehicles are expected to navigate in complex traffic scenarios
with multiple surrounding vehicles. The correlations between road users vary
over time, the degree of which, in theory, could be infinitely large, thus
posing a great challenge in modeling and predicting the driving environment. In
this paper, we propose a method to model multi-vehicle interactions using a
stochastic vector field model and apply non-parametric Bayesian learning to
extract the underlying motion patterns from a large quantity of naturalistic
traffic data. We then use this model to reproduce the high-dimensional driving
scenarios in a finitely tractable form. We use a Gaussian process to model
multi-vehicle motion, and a Dirichlet process to assign each observation to a
specific scenario. We verify the effectiveness of the proposed method on
highway and intersection datasets from the NGSIM project, in which complex
multi-vehicle interactions are prevalent. The results show that the proposed
method can capture motion patterns from both settings, without imposing heroic
prior, and hence demonstrate the potential application for a wide array of
traffic situations. The proposed modeling method could enable simulation
platforms and other testing methods designed for autonomous vehicle evaluation,
to easily model and generate traffic scenarios emulating large scale driving
data.

3
The categories of this paper are: physics
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
2
The categories of this paper are: math
37
The categories of this paper are: supr-con