A Review on Deep Learning UAV Systems for Visual Obstacle Detection in Crop Environments

Abstract

Nowadays unmanned aerial vehicles (UAV’s) have an important role in Precision Agriculture, due to this it is necessary the autonomous navigation in crop environments. Motivated by the latter, in this paper we present a review on Deep Learning (DL) techniques as a promising alternative for providing real-time obstacle detection and collision avoidance for autonomous UAVs. Furthermore, this article focuses on enumerating the most open challenges for current DL-UAV solutions to allow the navigation at low altitudes in complex crops.