Myleen Dosado Villaluz, Lu Gan, Jason. Sia, S. K. Tan, S. Foo, K. H. Low
{"title":"Preliminary 4.5G Cellular Network Assessment with Calibrated Standard Propagation Model (SPM) for uTM-UAS Operations in Singapore Airspace","authors":"Myleen Dosado Villaluz, Lu Gan, Jason. Sia, S. K. Tan, S. Foo, K. H. Low","doi":"10.1109/ICUAS.2018.8453326","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453326","url":null,"abstract":"The advantages of nationwide coverage, secured mobile connectivity, licensed spectrum operations, interference mitigation and mobility robustness capabilities, LTE Advanced Pro (4.5G) cellular network is a highly suitable candidate for Unmanned Aerial Systems (UAS) Command and Control (C2) communication management within Urban Traffic Management of Unmanned Aerial Systems (uTM-UAS) that have been presented at the Drone Enable International Civil Aviation Organization’s UAS Industry Symposium. In this paper, coverage and performance assessment for sub-urban, urban and coastal areas in Singapore for up to 400 feet (121.92 metre) altitude is first performed. Utilizing the collected measurements with Atoll radio planning tool, a calibrated Standard Propagation Model (SPM) is proposed to simulate 4.5G coverage availability for entire Singapore airspace up to 400 feet altitude. This calibrated SPM considers pathloss correction due to angular-depression between UAS’ altitude and cell tower height to improve coverage prediction accuracy. The accuracy of less than 8dB error in variance between simulation and experimental results have been achieved. The calibrated model will be used to support the uTM-UAS to indicate suitable airspace in terms of communication coverage and performance to ensure safe UAS operations.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115782862","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}
{"title":"Load Transportation Using Quadrotors: A Survey of Experimental Results","authors":"D. K. Villa, A. Brandão, M. Sarcinelli-Filho","doi":"10.1109/ICUAS.2018.8453296","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453296","url":null,"abstract":"This paper discusses some recent works considering load transportation with one or a group of quadrotors, an issue that has deserved increasing interest from the robotics community in recent years. Two different approaches are considered, namely transportation of a cable-suspended load and transportation of a load that is grasped and added to the body of the quadrotor. Different techniques proposed to accomplish maneuvers adopting both approaches are analyzed, focusing on works with experimental validation of the control strategies proposed.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115167073","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}
{"title":"Learning Based Framework for Joint Task Allocation and System Design in Stochastic Multi-UAV Systems","authors":"Inwook Kim, J. R. Morrison","doi":"10.1109/ICUAS.2018.8453318","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453318","url":null,"abstract":"We consider a system of UAVs, depots, service stations and tasks in a stochastic environment. Our goal is to jointly determine the system resources (system design), task allocation and waypoint selection. To our knowledge, none have studied this joint decision problem in the stochastic context. We formulate the problem as a Markov decision process (MDP) and resort to deep reinforcement learning (DRL) to obtain state-based decisions. Numerical studies are conducted to assess the performance of the proposed approach. In small examples for which an optimal policy can be found, the DRL based approach is much faster than value iteration and obtained nearly optimal solutions. In large examples, the DRL based approach can find efficient designs and policies.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123081715","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}
{"title":"Energy Shaping Controller for a Revisited Quadrotor Model Using New Passive Outputs","authors":"J. G. Romero, H. Rodríguez-Cortés","doi":"10.1109/ICUAS.2018.8453319","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453319","url":null,"abstract":"This article proposes a new control algorithm to solve the regulation problem for a quadrotor vehicle using the passivity-based control method, without solving partial differential equations neither performing a partial dynamic inversion. After a resourceful change of coordinates, it is possible to identify new quadrotor cyclo passive outputs. Then, a nonlinear proportional-integral controller in terms of these cyclo passive outputs completes the design. The proposed controller is evaluated using numerical simulations.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124814821","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}
{"title":"Real-Time Guidance, Navigation and Control Framework for Fixed-Wing Aircraft Maneuvers in a Vertical Plane","authors":"D. Azimov, E. Kawamura","doi":"10.1109/ICUAS.2018.8453467","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453467","url":null,"abstract":"The goal of this study is to create a real-time guidance, navigation and control (GNC) framework for a fixed-wing aircraft (FWA) to perform various maneuvers in a vertical plane. This study offers a new approach for improving the FWA autonomy by enabling real-time sensor data fusion, targeting and re-targeting capabilities, new analytical/ numerical trajectory and attitude control solutions, and target-relative guidance. Existing FWA dynamical models are based on the traditional decoupling of their motion. This paper extends the utility of the concept of an instantaneous screw axis in guidance and control thereby promoting a new vision to general 6-degrees-of-freedom rigid body motion control. The existing flight vehicle guidance and control functions are mainly iterative and implicit, platform-specific, utilize pre-determined target states or way points, and executed typically utilizing the decoupled motion dynamical models. The research presented in this paper produces the GNC framework with the real-time target-relative guidance system, which is explicit and free of iterations, provide an onboard computation of the target states, executable for an uncoupled motion, and adjustable to various FWA and other unmanned aerial system platforms. An illustrative example is considered for a FWA maneuver in a vertical plane.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124896614","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}
{"title":"A Risk-aware Path Planning Method for Unmanned Aerial Vehicles","authors":"Stefano Primatesta, G. Guglieri, A. Rizzo","doi":"10.1109/ICUAS.2018.8453354","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453354","url":null,"abstract":"This paper proposes a risk-aware path planning method for Unmanned Aerial Vehicles, with the aim to generate safe flight paths minimizing the risk to the population. The proposed approach consists of two phases: first, an off-line path planning computes the optimal global path in a static environment considering the risk; then, taking into account a dynamic risk-map, an on-line path planning adjusts and adapts the off-line path. The risk-map is a location-based map, in which each cell represents a specific location with an associated risk-cost.The off-line path planning is performed by the riskA* algorithm. It is based on the well-known A* algorithm, enhanced considering the minimization of the risk-cost. The off-line path planning is executed in a static environment and it has no time constraints. On the contrary, the on-line path planning needs to adapt the path in a short time, thus a fast response constitutes a critical design parameter. The on-line path planning is performed by a novel algorithm, called Borderland. Borderland uses a check and repair routine, then it identifies and adjusts only the portions of path involved by changes in the dynamic risk-map. Simulation results corroborate the validity of our approach.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121803828","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}
{"title":"UTM concept demonstrations in Fukushima; overview of demonstration and lesson learnt for operation of multiple UAS in the same airspace","authors":"H. Nakamura, Kenya Harada, Y. Oura","doi":"10.1109/ICUAS.2018.8453425","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453425","url":null,"abstract":"Japan Unmanned System Traffic & Radio Management Consortium conducted a large flight demonstration and made about 120 flights of 20 small Unmanned Aerial Systems (UAS), which includes one simulated aircraft, in October 2017. All the flights were under a traffic management, and all the operators submitted a flight plan, reserved an airspace and followed the navigation of the controller. This paper describes the overview of a concept of UAS traffic management (UTM) and the demonstration, and discusses the feasibility and challenges of the UTM concept.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124636215","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}
Todd Brick, M. Lanham, Andrew N. Kopeikin, C. Korpela, Ricardo Morales
{"title":"Zero to Swarm: Integrating sUAS Swarming into a Multi-disciplinary Engineering Program","authors":"Todd Brick, M. Lanham, Andrew N. Kopeikin, C. Korpela, Ricardo Morales","doi":"10.1109/ICUAS.2018.8453389","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453389","url":null,"abstract":"We present the results of a year-long effort to develop swarm tactics in the DARPA-sponsored Service Academies Swarm Challenge. Through the course of approximately 9 months, each Academy went from “zero to swarm” in capability and fielded swarms of 25 fixed and rotary wing small unmanned aerial systems. After a series of virtual scrimmages, teams competed in a live-fly swarm v. swarm aerial simulated combat competition. This paper provides an overview of the SASC architecture (i.e., hardware, software, simulation), swarm behaviors and tactics, testing, and the results from the competition.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131596317","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}
{"title":"A Reinforcement Learning Approach for Autonomous Control and Landing of a Quadrotor","authors":"M. Vankadari, K. Das, Chinmay Shinde, S. Kumar","doi":"10.1109/ICUAS.2018.8453468","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453468","url":null,"abstract":"This paper looks into the problem of precise autonomous landing of an Unmanned Aerial Vehicle (UAV) which is considered to be a difficult problem as one has to generate appropriate landing trajectories in presence of dynamic constraints, such as, sudden changes in wind velocities and directions, downwash effects, change in payload etc. The problem is further compounded due to uncertainties arising from inaccurate model information and noisy sensor readings. The problem is partially solved by proposing a Reinforcement Learning (RL) based controller that uses Least Square Policy Iteration (LSPI) to learn the optimal control policies required for generating these trajectories. The efficacy of the approach is demonstrated through both simulation and real-world experiments with actual Parrot AR drone 2.0. According to our study, this is the first time such experimental results have been presented using RL based controller for drone landing, making it a novel contribution in this field.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123755656","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}
{"title":"Autonomous target following with monocular camera on UAS using Recursive-RANSAC tracker","authors":"J. H. Lee, J. Millard, Parker C. Lusk, R. Beard","doi":"10.1109/ICUAS.2018.8453285","DOIUrl":"https://doi.org/10.1109/ICUAS.2018.8453285","url":null,"abstract":"This paper presents a vision-based target tracking and following system using a monocular camera on an Unmanned Aerial System (UAS). The R-RANSAC tracker tracks multiple moving objects in the camera field of view and the proposed controller is capable of following a particular target selected by a user while keeping the target in the center of the image. The main contribution of this paper is that multiple objects can be tracked without imposing restrictions such as color, shape, etc. Also, the hardware test shows that the system is able to follow a target autonomously in a real-world outdoor environment. The proposed algorithm is validated on a 3DR X-8 multirotor platform using a downward facing camera.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125118380","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}