Unmanned aerial vehicles represent a new frontier in a wide range of monitoring and
research applications. To fully leverage their potential, a key challenge is planning missions …

Speed is essential in wildlife surveys due to the dynamic movement of animals throughout
their environment and potentially extreme changes in weather. In this work, we present a …

In this paper, we introduce an informative path planning (IPP) framework for active
classification using unmanned aerial vehicles (UAVs). Our algorithm uses a combination of …

Efficient data collection methods play a major role in helping us better understand the Earth
and its ecosystems. In many applications, the usage of unmanned aerial vehicles (UAVs) for …

Unmanned aerial vehicles (UAVs) can offer timely and cost-effective delivery of high-quality
sensing data. However, deciding when and where to take measurements in complex …

Unmanned Aerial Vehicles (UAVs) have been used in several applications for monitoring
environments and mapping. To carry out the mapping of these environments, the UAV …

Safety and automation are the two major challenges in the application of Unmanned Aerial
Vehicle (UAV), commonly known as drone, to the power lines inspection and fault detection …

Fixed-wing small uncrewed aerial vehicles (sUAVs) possess the capability to remain
airborne for extended durations and traverse vast distances. However, their operation is …

Unmanned aerial vehicles combined with computer vision systems, such as convolutional
neural networks, offer a flexible and affordable solution for terrain monitoring, mapping, and …

Fast and accurate visual search is an enabler for many applications of drones. Prior works
use POMDPs to produce effective search strategies. As the observation models are from …