Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Vehicular Multi-object Tracking with Persistent Detector Failures   Autonomous vehicles often perceive the environment by feeding sensor data to
a learned detector algorithm, then feeding detections to a multi-object tracker
that models object motions over time. Probabilistic models of multi-object
trackers typically assume that errors in the detector algorithm occur randomly
over time. We instead assume that undetected objects and false detections will
persist in certain conditions, and modify the tracking framework to account for
them. The modifications are tested on a vehicle tracking dataset using a
state-of-the-art lidar-based detector, a novel lightweight detector, and a
fusion of camera and lidar detectors. For each detector, the persistence
modifications notably improve performance and enable the model to outperform
baseline trackers.

14
The categories of this paper are: math-ph
12
The categories of this paper are: nucl-th
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
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The categories of this paper are: comp-gas
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
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The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin