Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Design of Cooperative Overtaking Based on Complex Lane Detection and
  Collision Risk Estimation   Cooperative overtaking is believed to have the capability of improving road
safety and traffic efficiency by means of the real-time information exchange
between traffic participants, including road infrastructures, nearby vehicles
and others. In this paper, we focused on the critical issues of modeling,
computation, and analysis of cooperative overtaking and made it playing a key
role in the road overtaking area. In detail, for the purpose of extending the
awareness of the surrounding environment, the lane markings in front of ego
vehicle were detected and modeled with Bezier curve using an onboard camera.
While the nearby vehicle positions were obtained through the vehicle-to-vehicle
communication scheme making assure of the accuracy of localization. Then,
Gaussian-based conflict potential field was proposed to guarantee the
overtaking safety, which can quantitatively estimate the oncoming collision
danger. To support the proposed method, many experiments were conducted on the
human-in-the-loop simulation platform. The results demonstrated that our
proposed method achieves better performance, especially in some unpredictable
nature road circumstances.

32
The categories of this paper are: atom-ph
16
The categories of this paper are: stat
2
The categories of this paper are: math
11
The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn
25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an