Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Formal Safety Characterization of Advanced Driver Assist Systems in
  the Car-Following Regime with Scenario-Sampling   The capability to follow a lead-vehicle and avoid rear-end collisions is one
of the most important functionalities for human drivers and various Advanced
Driver Assist Systems (ADAS). Existing safety performance justification of the
car-following systems either relies on simple concrete scenarios with biased
surrogate metrics or requires a significantly long driving distance for risk
observation and inference. In this paper, we propose a guaranteed unbiased and
sampling efficient scenario-based safety evaluation framework inspired by the
previous work on $\epsilon\delta$-almost safe set quantification. The proposal
characterizes the complete safety performance of the test subject in the
car-following regime. The performance of the proposed method is also
demonstrated in challenging cases including some widely adopted car-following
decision-making modules and the commercially available Openpilot driving stack
by CommaAI.

28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
21
The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
9
The categories of this paper are: nlin