%0 Journal Article
%T Learning-based methods of perception and navigation for ground vehicles in unstructured environments: a review
%J Sensors (Basel)
%D 2021
%A Guastella, Dario Calogero
%A Muscato, Giovanni
%V 21
%N 1
%P e73-e73
%X 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>
%G en
%I MDPI: Multidisciplinary Digital Publishing Institute
%@ 1424-8220
%U http://dx.doi.org/10.3390/s21010073