2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS)最新文献_第4页

On simulation-based adaptive UAS behavior during jamming 基于仿真的自适应无人机干扰行为研究

2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) Pub Date : 2017-10-01 DOI: 10.1109/RED-UAS.2017.8101647

R. Johansson, P. Hammar, Patrik Thorén

引用次数: 6

Modelling and control of helicopter robotic landing gear for uneven ground conditions 不平整地面条件下直升机机器人起落架的建模与控制

2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) Pub Date : 2017-10-01 DOI: 10.1109/RED-UAS.2017.8101644

Daniel Melia Boix, Keng Goh, J. McWhinnie

引用次数: 14

Aerial robot coverage path planning approach with concave obstacles in precision agriculture 精准农业中具有凹障碍物的航空机器人覆盖路径规划方法

2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) Pub Date : 2017-10-01 DOI: 10.1109/RED-UAS.2017.8101641

The Hung Pham, Y. Bestaoui, S. Mammar

{"title":"Aerial robot coverage path planning approach with concave obstacles in precision agriculture","authors":"The Hung Pham, Y. Bestaoui, S. Mammar","doi":"10.1109/RED-UAS.2017.8101641","DOIUrl":"https://doi.org/10.1109/RED-UAS.2017.8101641","url":null,"abstract":"In this paper, we present a new approach for maximizing the coverage path planning while minimizing the path length of an aerial robot in agriculture environment with concave obstacles. For resolving this problem, we propose a new cellular decomposition which is based on a generalization of the Boustrophedon variant, using Morse functions, with an extension of the representation of the critical points. This extension leads to a decrease of the number of cells after decomposition. The results show that this new cellular decomposition works well even with several concave obstacles inside the environment. Furthermore, for path planning, the cells are divided again into two classes, leading to have a cell set better suited for use of the traveling salesman problem (TSP) to get complete coverage. Genetic Algorithm (GA) and TSP algorithm are applied to obtain the shortest path. Then, an approach is also proposed to maximize the scanned area on the working area with obstacles. The proposed method can be applied in precision agriculture for monitoring insects and other crop pests. The effectiveness of the proposed method has been verified on Matlab/Simulink.","PeriodicalId":299104,"journal":{"name":"2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131120061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 21

Ultra-wide band Real time Location Systems: Practical implementation and UAV performance evaluation 超宽带实时定位系统:实际实现与无人机性能评估

2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) Pub Date : 2017-10-01 DOI: 10.1109/RED-UAS.2017.8101667

Krzysztof Cisek, A. Zolich, Kristian Klausen, T. Johansen

引用次数: 16

Navigation strategy in-flight retrieving and transportation operations for a rotorcraft MAV 一种旋翼飞行器MAV的空中检索和运输操作导航策略

2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) Pub Date : 2017-10-01 DOI: 10.1109/RED-UAS.2017.8101635

J. Escareño, J. Castillo, W. Abassi, G. Flores, K. Camarillo

引用次数: 4

Obstacle avoidance system development for the Ardrone 2.0 using the tum_ardrone package 使用tum_ardrone包为Ardrone 2.0开发避障系统

2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) Pub Date : 2017-10-01 DOI: 10.1109/RED-UAS.2017.8101642

F. d'Apolito, C. Sulzbachner

引用次数: 1

Qualitative analysis of guidance and control methods for wind gradients exploitation with small fixed wing UAS 小型固定翼无人机风梯度利用制导与控制方法定性分析

2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) Pub Date : 2017-10-01 DOI: 10.1109/RED-UAS.2017.8101651

Leopoldo Rodríguez, J. A. Cobano, A. Ollero

{"title":"Qualitative analysis of guidance and control methods for wind gradients exploitation with small fixed wing UAS","authors":"Leopoldo Rodríguez, J. A. Cobano, A. Ollero","doi":"10.1109/RED-UAS.2017.8101651","DOIUrl":"https://doi.org/10.1109/RED-UAS.2017.8101651","url":null,"abstract":"In this paper, different Guidance and Control (GC) methods for trajectory tracking are analyzed. This effort considers the ongoing research effort regarding wind features characterization and trajectory generation. The investigation of GC methods is contextualized for long duration missions of small Unmanned Aerial Systems (UAS). These are often hampered by the platform characteristics with cost and weight stringent restrictions. Therefore, innovative ways of increasing flight duration are necessary to fulfill the safety and reliability requirements for such missions fulfilling the cost and weight constraints. Atmospheric Energy Harvesting has been studied as an alternative for flight duration enhancement. The guidance and control strategies have been focused in the dynamic soaring case, in which the trajectories require precise tracking for energy gain. This gain depends on the tracking ability of the autopilot which motivates this analysis. As a conclusion to this analysis, two methodologies are chosen as candidates for GC, one based on pure differential geometry techniques to formulate simple error equations, and the other that uses adaptive control strategies based on vector field theory to formulate error equations and a Lyapunov function ensuring asymptotic stability with complex curve shapes and wind disturbances.","PeriodicalId":299104,"journal":{"name":"2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121485116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real time optimal path generation with mission and vehicle maneuvering constraints 具有任务和飞行器机动约束的实时最优路径生成

2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) Pub Date : 2017-10-01 DOI: 10.1109/RED-UAS.2017.8101639

G. Cuciniello, F. Corraro, L. Garbarino, G. Morani

引用次数: 3

Autonomous indoor navigation of a stock quadcopter with off-board control 带有机载控制的四轴飞行器的自主室内导航

2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) Pub Date : 2017-10-01 DOI: 10.1109/RED-UAS.2017.8101656

Adriano Garcia, K. Ghose

引用次数: 4

Vertical modeling of a quadcopter for mass estimation and diagnosis purposes 用于质量估计和诊断目的的四轴飞行器垂直建模

2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) Pub Date : 2017-10-01 DOI: 10.1109/RED-UAS.2017.8101665

D. Ho, Jonas Linder, Gustaf Hendeby, M. Enqvist

引用次数: 5