Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Trained Trajectory based Automated Parking System using Visual SLAM on
  Surround View Cameras   Automated Parking is becoming a standard feature in modern vehicles. Existing
parking systems build a local map to be able to plan for maneuvering towards a
detected slot. Next generation parking systems have an use case where they
build a persistent map of the environment where the car is frequently parked,
say for example, home parking or office parking. The pre-built map helps in
re-localizing the vehicle better when its trying to park the next time. This is
achieved by augmenting the parking system with a Visual SLAM pipeline and the
feature is called trained trajectory parking in the automotive industry. In
this paper, we discuss the use cases, design and implementation of a trained
trajectory automated parking system. The proposed system is deployed on
commercial vehicles and the consumer application is illustrated in
\url{https://youtu.be/nRWF5KhyJZU}. The focus of this paper is on the
application and the details of vision algorithms are kept at high level.

6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
9
The categories of this paper are: nlin
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg