Cognitive Formation Flight in Multi-Unmanned Aerial Vehicle-Based Personal Remote Sensing Systems

This work presents a collaborative unmanned aerial and ground vehicle system which utilizes the aerial vehicle's overhead view to inform the ground vehicle's path planning in real time. The aerial vehicle acquires imagery which is assembled into a orthomosaic and then classified. These terrain classes are used to estimate relative navigation costs for the ground vehicle so energy-efficient path...

We present a methodology for the deployment of the maxsum algorithm, a well known decentralised algorithm for coordinating autonomous agents, for problems related to situational awareness. In these settings, unmanned autonomous vehicles are deployed to collect information about an unknown environment. Our methodology then helps identify the choices that need to be made to apply the algorithm to...

Cyber-Physical Systems Enabled by Unmanned Aerial System-Based Personal Remote Sensing: Data Mission Quality-Centric Design Architectures

In this article, we attempt to document a technical overview on modern miniature unmanned rotorcraft systems. We first give a brief review on the historical development of the rotorcraft unmanned aerial vehicles (UAVs), and then move on to present a fairly detailed and general overview on the hardware configuration, software integration, aerodynamic modeling and automatic flight control system ...

The paper presents a method of terrain classification and path planning for unmanned ground vehicles. The terrain classification is done on imagery that is acquired from UAV (unmanned aerial vehicle) or satellite and is used for UGV (unmanned ground vehicle) path planning thus introducing collaboration capabilities to the system of two. The system complements the UGV on-board navigation system ...

As robotic platforms and unmanned aerial vehicles (UAVs) increase in sophistication and complexity, the ability to determine the spatial orientation and placement of the platform in real time (localization) becomes an important issue. Detecting and extracting locations of objects, barriers, and openings is required to ensure the overall effectiveness of the device. Current methods to achieve lo...