Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Learning based Wearable Assistive System for Visually Impaired
  People   In this paper, we propose a deep learning based assistive system to improve
the environment perception experience of visually impaired (VI). The system is
composed of a wearable terminal equipped with an RGBD camera and an earphone, a
powerful processor mainly for deep learning inferences and a smart phone for
touch-based interaction. A data-driven learning approach is proposed to predict
safe and reliable walkable instructions using RGBD data and the established
semantic map. This map is also used to help VI understand their 3D surrounding
objects and layout through well-designed touchscreen interactions. The
quantitative and qualitative experimental results show that our learning based
obstacle avoidance approach achieves excellent results in both indoor and
outdoor datasets with low-lying obstacles. Meanwhile, user studies have also
been carried out in various scenarios and showed the improvement of VI's
environment perception experience with our system.

26
The categories of this paper are: bayes-an
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
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
2
The categories of this paper are: math
17
The categories of this paper are: q-fin
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph