Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: People as Sensors: Imputing Maps from Human Actions   Despite growing attention in autonomy, there are still many open problems,
including how autonomous vehicles will interact and communicate with other
agents, such as human drivers and pedestrians. Unlike most approaches that
focus on pedestrian detection and planning for collision avoidance, this paper
considers modeling the interaction between human drivers and pedestrians and
how it might influence map estimation, as a proxy for detection. We take a
mapping inspired approach and incorporate people as sensors into mapping
frameworks. By taking advantage of other agents' actions, we demonstrate how we
can impute portions of the map that would otherwise be occluded. We evaluate
our framework in human driving experiments and on real-world data, using
occupancy grids and landmark-based mapping approaches. Our approach
significantly improves overall environment awareness and out-performs standard
mapping techniques.

11
The categories of this paper are: hep-lat
20
The categories of this paper are: acc-phys
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
7
The categories of this paper are: hep-th
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex