UAV Path Planning for Civil Applications

Multi-Agent UAV Path Planning

This paper introduces a simulation designed to test real-time path planning done by single and multiple agents. The components of the simulation include a road network, several Uninhabited Aerial Vehicles (UAVs) with electro-optic sensors, a target and an Uninhabited Ground Vehicle (UGV). The target and UGV are located on the road network. Random blockages are placed on the road network, possib...

Parallel Evolutionary Algorithms for Uav Path Planning

Evolutionary computation (EC) techniques have been successfully applied to compute near-optimal paths for unmanned aerial vehicles (UAVs). Premature convergence prevents evolutionary-based algorithms from reaching global optimal solutions. This often leads to unsatisfactory routes that are suboptimal to optimal path planning problems. To overcome this problem, this paper presents a framework of...

An Open Architecture for the Integration of UAV Civil Applications

Adaptive Multi-Agent Path Planning for Distributed UAV Systems

In recent years, unmanned aerial vehicles (UAVs) have become increasingly prevalent in the modern world. These systems are used for a wide variety of applications, from recreation and entertainment to warfare and espionage. UAVs are favored for their low cost and low risk, not to mention their ability to execute tasks in environments which might be inaccessible or dangerous to humans. In tactic...

Modeling Urban Environments for Communication Aware UAV Path Planning

The presented work introduces a graph based approach to model urban (or otherwise cluttered) environments for UAS utilization beyond line-of-sight as well as out of direct R/F range of the operator’s control station. Making the assumption that some a priori data of the environment is available, the proposed method uses a classification of obstacles with respect to their impact on UAV motion and...