Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Accelerated Testing Approach for Automated Vehicles with Background
  Traffic Described by Joint Distributions   This paper proposes a new framework based on joint statistical models for
evaluating risks of automated vehicles in a naturalistic driving environment.
The previous studies on the Accelerated Evaluation for automated vehicles are
extended from multi-independent-variate models to joint statistics. The
proposed toolkit includes exploration of the rare event (e.g. crash) sets and
construction of accelerated distributions for Gaussian Mixture models using
Importance Sampling techniques. Furthermore, the monotonic property is used to
avoid the curse of dimensionality introduced by the joint distributions.
Simulation results show that the procedure is effective and has a great
potential to reduce the test cost for automated vehicles.

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The categories of this paper are: physics
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The categories of this paper are: comp-gas
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The categories of this paper are: solv-int
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The categories of this paper are: q-fin
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The categories of this paper are: q-bio
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-lat
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The categories of this paper are: gr-qc
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The categories of this paper are: q-alg
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The categories of this paper are: math-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: dg-ga
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The categories of this paper are: stat
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The categories of this paper are: chao-dyn
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The categories of this paper are: funct-an
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The categories of this paper are: chem-ph