The rapid development and availability of drones has raised growing interest in their
numerous applications, especially for aerial remote-sensing tasks using the Internet of …

Waypoints have enhanced the prospect of fully autonomous drone applications. However,
Geographical Position System (GPS) spoofing and signal interferences are key issues in …

Fully autonomous drones are a new emerging field that has enabled many applications
such as gas source leakage localization, wild-fire detection, smart agriculture, and search …

Recently Unmanned Aerial Vehicles (UAVs) or Drones have gained enormous attention in
applications like military, agriculture, industry, etc. One approach of controlling the operation …

The vast majority of indoor navigation algorithms either rely on manual scene augmentation
and labelling or exploit multi-sensor fusion techniques in achieving simultaneous …

Autonomous indoor navigation of Micro Aerial Vehicles (MAVs) possesses many
challenges. One main reason is that GPS has limited precision in indoor environments. The …

The evolution of energy-efficient ultra-low-power (ULP) parallel processors and the diffusion
of convolutional neural networks (CNNs) are fueling the advent of autonomous driving nano …

Considering the weak resistance to interference and generalization ability of traditional UAV
visual landing navigation algorithms, this paper proposes a deep-learning-based approach …

Only vision-based navigation is the key of cost reduction and widespread application of
indoor mobile robot. Consider the unpredictable nature of artificial environments, deep …

Mobile robots such as unmanned aerial vehicles (drones) can be used for surveillance,
monitoring and data collection in buildings, infrastructure and environments. The importance …