Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Automatic Generation of Road Geometries to Create Challenging Scenarios
  for Automated Vehicles Based on the Sensor Setup   For the offline safety assessment of automated vehicles, the most challenging
and critical scenarios must be identified efficiently. Therefore, we present a
new approach to define challenging scenarios based on a sensor setup model of
the ego-vehicle. First, a static optimal approaching path of a road user to the
ego-vehicle is calculated using an A* algorithm. We consider a poor perception
of the road user by the automated vehicle as optimal, because we want to define
scenarios that are as critical as possible. The path is then transferred to a
dynamic scenario, where the trajectory of the road user and the road layout are
determined. The result is an optimal road geometry, so that the ego-vehicle can
perceive an approaching object as poorly as possible. The focus of our work is
on the highway as the Operational Design Domain (ODD).

16
The categories of this paper are: stat
4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics
19
The categories of this paper are: eess
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
5
The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
13
The categories of this paper are: quant-ph
30
The categories of this paper are: q-alg
24
The categories of this paper are: dg-ga
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ