Path Planning for UAV to Collect Sensors Data Based on Spiral Decomposition
نویسندگان
چکیده
منابع مشابه
Using a Uav to Collect Data from Low-power Wireless Sensors
In this work we propose an energy-efficient cooperative transmission scheme for wireless sensor networks (WSNs) where data gathered by sensor nodes need to be transmitted toward a far receiver. The scenario consists of sensor nodes that share a common message that has to be transmitted asynchronously toward a fusion center positioned onboard an unmanned aerial vehicle (UAV). We assume the commu...
متن کاملA Genetic-Algorithm-Based Approach to UAV Path Planning Problem
This paper presents a genetic-algorithm-based approach to the problem of UAV path planning in dynamic environments. Variable-length chromosomes and their genes have been used for encoding the problem. We model the vehicle path as a sequence of speed and heading transitions occurring at discrete times, and this model specifically contains the vehicle dynamic constraints in the generation of tria...
متن کاملMulti-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...
متن کاملParallel 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...
متن کاملLearning covariance dynamics for path planning of UAV sensors in a large-scale dynamic environment
This work addresses the problem of trajectory planning for UAV sensors taking measurements of a large nonlinear system to improve estimation and prediction of such a system. The lack of perfect knowledge of the global system state typically requires probabilistic state estimation. The goal is therefore to find trajectories such that the measurements along each trajectory minimize the expected e...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2018
ISSN: 1877-0509
DOI: 10.1016/j.procs.2018.04.291