@article{ref1,
title="Learning-based methods of perception and navigation for ground vehicles in unstructured environments: a review",
journal="Sensors (Basel)",
year="2021",
author="Guastella, Dario Calogero and Muscato, Giovanni",
volume="21",
number="1",
pages="e73-e73",
abstract="The problem of autonomous navigation of a ground vehicle in unstructured environments is both challenging and crucial for the deployment of this type of  vehicle in real-world applications. Several well-established communities in robotics  research deal with these scenarios such as search and rescue robotics, planetary  exploration, and agricultural robotics. Perception plays a crucial role in this  context, since it provides the necessary information to make the vehicle aware of  its own status and its surrounding environment. We present a review on the recent  contributions in the robotics literature adopting learning-based methods to solve  the problem of environment perception and interpretation with the final aim of the  autonomous context-aware navigation of ground vehicles in unstructured environments. To the best of our knowledge, this is the first work providing such a review in this  context.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s21010073",
url="http://dx.doi.org/10.3390/s21010073"
}