Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Review of Pedestrian Trajectory Prediction Methods: Comparing Deep
  Learning and Knowledge-based Approaches   In crowd scenarios, predicting trajectories of pedestrians is a complex and
challenging task depending on many external factors. The topology of the scene
and the interactions between the pedestrians are just some of them. Due to
advancements in data-science and data collection technologies deep learning
methods have recently become a research hotspot in numerous domains. Therefore,
it is not surprising that more and more researchers apply these methods to
predict trajectories of pedestrians. This paper compares these relatively new
deep learning algorithms with classical knowledge-based models that are widely
used to simulate pedestrian dynamics. It provides a comprehensive literature
review of both approaches, explores technical and application oriented
differences, and addresses open questions as well as future development
directions. Our investigations point out that the pertinence of knowledge-based
models to predict local trajectories is nowadays questionable because of the
high accuracy of the deep learning algorithms. Nevertheless, the ability of
deep-learning algorithms for large-scale simulation and the description of
collective dynamics remains to be demonstrated. Furthermore, the comparison
shows that the combination of both approaches (the hybrid approach) seems to be
promising to overcome disadvantages like the missing explainability of the deep
learning approach.

12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex
20
The categories of this paper are: acc-phys
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
4
The categories of this paper are: cond-mat
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
14
The categories of this paper are: math-ph