Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayesian Deep Learning for Segmentation for Autonomous Safe Planetary
  Landing   Hazard detection is critical for enabling autonomous landing on planetary
surfaces. Current state-of-the-art methods leverage traditional computer vision
approaches to automate the identification of safe terrain from input digital
elevation models (DEMs). However, performance for these methods can degrade for
input DEMs with increased sensor noise. In the last decade, deep learning
techniques have been developed for various applications. Nevertheless, their
applicability to safety-critical space missions has often been limited due to
concerns regarding their outputs' reliability. In response to these
limitations, this paper proposes an application of the Bayesian deep-learning
segmentation method for hazard detection. The developed approach enables
reliable, safe landing site detection by: (i) generating simultaneously a
safety prediction map and its uncertainty map via Bayesian deep learning and
semantic segmentation; and (ii) using the uncertainty map to filter out the
uncertain pixels in the prediction map so that the safe site identification is
performed only based on the certain pixels (i.e., pixels for which the model is
certain about its safety prediction). Experiments are presented with simulated
data based on a Mars HiRISE digital terrain model by varying uncertainty
threshold and noise levels to demonstrate the performance of the proposed
approach.

11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
5
The categories of this paper are: gr-qc
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn