Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: What the Constant Velocity Model Can Teach Us About Pedestrian Motion
  Prediction   Pedestrian motion prediction is a fundamental task for autonomous robots and
vehicles to operate safely. In recent years many complex approaches based on
neural networks have been proposed to address this problem. In this work we
show that - surprisingly - a simple Constant Velocity Model can outperform even
state-of-the-art neural models. This indicates that either neural networks are
not able to make use of the additional information they are provided with, or
that this information is not as relevant as commonly believed. Therefore, we
analyze how neural networks process their input and how it impacts their
predictions. Our analysis reveals pitfalls in training neural networks for
pedestrian motion prediction and clarifies false assumptions about the problem
itself. In particular, neural networks implicitly learn environmental priors
that negatively impact their generalization capability, the motion history of
pedestrians is irrelevant and interactions are too complex to predict. Our work
shows how neural networks for pedestrian motion prediction can be thoroughly
evaluated and our results indicate which research directions for neural motion
prediction are promising in future.

8
The categories of this paper are: hep-ex
16
The categories of this paper are: stat
37
The categories of this paper are: supr-con
25
The categories of this paper are: patt-sol
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
7
The categories of this paper are: hep-th
23
The categories of this paper are: solv-int