RAPIDO

Smart and Precision Agriculture is nowadays already exploiting advanced drones and machinery, but it is foreseen that in the near future more complex and intelligent applications will be required to be brought on-board to improve qualitatively and ...

Unmanned Aerial Vehicles (UAVs) that interact with the physical world in real-time make use of a multitude of sensors and often execute deep neural network workloads for perceiving the state of the environment. To increase UAV’s operations, it is ...

In this paper, we present an approach to integrate reconfigurable SoCs into the well known Robot Operating System (ROS). Our method allows to implement hardware-accelerated algorithms on FPGA and integrate them directly into the ROS ecosystem. This ...

The operation of unmanned aircraft systems (UAS) currently sees limitations in beyond visual line of sight (BVLOS) missions. Outside of military operations, regulations and technology for safe operations are still being developed.

To ensure alignment ...

Drones/UAVs are able to perform air operations that are difficult to carry out by manned aircrafts. Their use brings significant environmental benefits and economic savings while reducing risks to human life. Recently, a number of approaches introduced ...

The use of drones or Unmanned Aerial Vehicles (UAVs) in commercial applications has the potential to disrupt several industries. To cover effectively such a broad spectrum of applications, UAV integrators require the ability to develop drone platforms ...

Understanding and predicting response time is a major concern in most systems. However, the complexity of heterogeneous Multiprocessor Systems-on-Chipss (MPSoCss) makes it difficult to provide early evaluation of system execution latency when executing ...

We propose GANNoC, a framework for automatic generation of customized Network-on-Chip (NoC) topologies, which exploits generative adversarial networks (GANs) learning capabilities. We define the problem of NoC generation as a graph generation problem, ...

Machine learning is one of the most cutting edge methods in computer vision. Convolutional Neural Networks (CNN) in particular are widely used in edge computing based applications such as autonomous driving for image recognition or object tracking. ...

We present Mocasin, an open-source rapid prototyping framework for researching, implementing and validating new algorithms and solutions in the field of mapping software to heterogeneous multi-cores. In contrast to the many existing tools that often ...