This paper surveys the state-of-the-art optimization approaches in the civil application of
drone operations (DO) and drone-truck combined operations (DTCO) including construction …

Unmanned aerial vehicles (UAVs), or aerial drones, are an emerging technology with
significant market potential. UAVs may lead to substantial cost savings in, for instance …

During recent years, advances in drone technologies have made them applicable in various
fields of industry, and their popularity continues to grow. In this paper, the academic …

This paper presents a new solver for the exactly one-in-a-set Generalized Traveling
Salesman Problem (GTSP). In the GTSP, we are given as input a complete directed graph …

In this letter, we address the orienteering problem (OP) for curvature constrained vehicle. For
a given set of target locations, each with associated reward, the OP stands to find a tour from …

This article aims to solve a hierarchical multi-UAV Dubins traveling salesman problem
(HMDTSP). Optimal hierarchical coverage and multi-UAV collaboration are achieved by the …

In this letter, we propose a novel sampling-based planner for multi-goal path planning
among obstacles, where the objective is to visit predefined target locations while minimizing …

In large scale coverage operations, such as marine exploration or aerial monitoring, single
robot approaches are not ideal, as they may take too long to cover a large area. In such …

Reducing acquisition time is a crucial challenge for many imaging techniques. Compressed
sensing (CS) theory offers an appealing framework to address this issue since it provides …

The problem of generating optimal paths for curvature-constrained unmanned aerial
vehicles (UAVs) performing surveillance of multiple ground targets is addressed in this …