Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Pedestrian Collision Avoidance System for Scenarios with Occlusions   Safe autonomous driving in urban areas requires robust algorithms to avoid
collisions with other traffic participants with limited perception ability.
Current deployed approaches relying on Autonomous Emergency Braking (AEB)
systems are often overly conservative. In this work, we formulate the problem
as a partially observable Markov decision process (POMDP), to derive a policy
robust to uncertainty in the pedestrian location. We investigate how to
integrate such a policy with an AEB system that operates only when a collision
is unavoidable. In addition, we propose a rigorous evaluation methodology on a
set of well defined scenarios. We show that combining the two approaches
provides a robust autonomous braking system that reduces unnecessary braking
caused by using the AEB system on its own.

5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
17
The categories of this paper are: q-fin
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
9
The categories of this paper are: nlin
10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph