{"title":"Value Sensitive Design of a Humanitarian Cargo Drone","authors":"Dylan Cawthorne, Alessandra Cenci","doi":"10.1109/ICUAS.2019.8797940","DOIUrl":"https://doi.org/10.1109/ICUAS.2019.8797940","url":null,"abstract":"Value Sensitive Design (VSD) is an interdisciplinary approach to technological development that systematically incorporates ethical considerations and social impacts as design inputs. Here, the VSD methodology is described, and elements of VSD are applied with a technological focus to analyze an existing prototype humanitarian cargo drone. Then, a new proposed drone design that better supports the values of human welfare (physical, psychological, and material welfare), and environmental sustainability is developed. The new drone is a high-speed fixed-wing drone which uses internal combustion engines and drops its payload via parachute to minimize transportation time and maximize patient physical welfare. It uses lower levels of automation such as manual flight monitoring to increase reliability and safety (physical welfare), and support the local workforce (material welfare). The drone uses much less energy than the technology it replaces, and is therefore much more environmentally friendly, supporting environmental sustainability. This work contributes by being the first to apply VSD methods to the technological development of a specific drone platform, and by demonstrating how drone engineers can use VSD to develop ”ethical” drones.","PeriodicalId":426616,"journal":{"name":"2019 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131018216","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}
Lúcio André Amorim, R. Vassallo, M. Sarcinelli-Filho
{"title":"Building Mosaics Using Images Autonomously Acquired by a UAV","authors":"Lúcio André Amorim, R. Vassallo, M. Sarcinelli-Filho","doi":"10.1109/ICUAS.2019.8797875","DOIUrl":"https://doi.org/10.1109/ICUAS.2019.8797875","url":null,"abstract":"In this work we discuss an application related either to fire fighting or to precision agriculture, which consists in building mosaics from aerial images acquired by an Unmanned Aerial Vehicle - a UAV, specifically a quadrotor. The odometry of the vehicle is used to help estimating the position of each new image to be included in the mosaic, and, thus, matching features present in the overlapping areas of the images. Navigation and image acquisition are done autonomously, with a pre-set route in which a set of waypoints is defined. Images are acquired while the quadrotor keeps itself hovering in each waypoint, after testing such a possibility against the option correspondent to get images with the quadrotor flying between two of them. For choosing between these two cases the mosaics are built and compared, leading to the decision of using the images acquired with the quadrotor hovering over each waypoint. To improve the mosaics built, information provided by a GPS module onboard the UAV about the position from where each image is acquired is also included in the mosaic, to allow getting better information about the area under inspection, which can be, for instance, an area in which fire outbreaks are being searched or a farming area being inspected.","PeriodicalId":426616,"journal":{"name":"2019 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122388646","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":"Visual Controllers for Relative Positioning in Indoor Settings","authors":"L. Mejias, P. Campoy","doi":"10.1109/ICUAS.2019.8797954","DOIUrl":"https://doi.org/10.1109/ICUAS.2019.8797954","url":null,"abstract":"This paper presents an approach to visually control a quadrotor relative to known landmarks. Relative positioning is achieved here by a new decoupled approach to image based visual servoing (IBVS), in which rotational and translational coupling is minimised by introducing a decay function that is proportional to feature location in the image. Simulations and experiments were conducted to validate the proposed method. Results show that our method has benefits over standard decoupled IBVS by ensuring smoother trajectories in the image plane as well as in task space, minimising the risk of features leaving the image plane.","PeriodicalId":426616,"journal":{"name":"2019 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124025882","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}
Michael Farrell, James Jackson, Jerel Nielsen, Craig C. Bidstrup, T. McLain
{"title":"Error-State LQR Control of a Multirotor UAV","authors":"Michael Farrell, James Jackson, Jerel Nielsen, Craig C. Bidstrup, T. McLain","doi":"10.1109/ICUAS.2019.8798359","DOIUrl":"https://doi.org/10.1109/ICUAS.2019.8798359","url":null,"abstract":"We propose an implementation of an LQR controller for the full-state tracking of a time-dependent trajectory with a multirotor UAV. The proposed LQR formulation is based in Lie theory and linearized at each time step according to the multirotor’s current state. We show experiments in both simulation and hardware that demonstrate the proposed control scheme’s ability to accurately reach and track a given trajectory. The implementation is shown to run onboard at the full rate of a UAV’s estimated state.","PeriodicalId":426616,"journal":{"name":"2019 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127977191","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":"High-Speed Obstacle-Avoidance with Agile Fixed-Wing Aircraft","authors":"Eitan Bulka, M. Nahon","doi":"10.1109/ICUAS.2019.8797720","DOIUrl":"https://doi.org/10.1109/ICUAS.2019.8797720","url":null,"abstract":"Agile fixed-wing aircraft aim to bridge the gap between rotor-craft and conventional fixed-wing aircraft, with the capability of maneuverable and even hovering flight like a rotor-craft, and of efficient long distance flight like a conventional fixed-wing aircraft. Avoiding obstacles in unknown environments is a challenging task with these platforms, as they have complicated dynamics and a limited payload, and they fly at high speeds. In this work, we present an obstacle-avoidance strategy that avoids collisions while steering the aircraft to the goal. The strategy does not rely on a prior map of the environment, or the ability to build a map in real-time, and can be run in real-time on-board the aircraft. We utilize a library of optimal trajectories, both conventional and aerobatic maneuvers, that are solved off-line. A sequence of these trajectories is pieced together to form a collision-free motion plan within the field of view of the depth camera that steers the aircraft towards the goal region. We validate the approach in a high-fidelity simulation environment. The aircraft flies autonomously through a forest-like map to a goal region, using conventional maneuvers such as banked and helical turns, as well as aerobatic maneuvers such as an aggressive turnaround.","PeriodicalId":426616,"journal":{"name":"2019 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121259614","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}
Jorge L. Hernandez, I. González-Hernández, R. Lozano
{"title":"Attitude and altitude control for a fixed wing UAV applied to photogrammetry","authors":"Jorge L. Hernandez, I. González-Hernández, R. Lozano","doi":"10.1109/ICUAS.2019.8798035","DOIUrl":"https://doi.org/10.1109/ICUAS.2019.8798035","url":null,"abstract":"The use of autonomous vehicles in daily life is more commonly every day, we can find it in security missions, agriculture, windmills inspection and one of its main uses the processes of photogrammetry, because the new systems and technologies to perform the last one could give errors of centimeters in a topographic map. The studies of large areas are carried out with fixed-wing UAV, so it is necessary to ensure that the vehicle could follow a desired path even in presence of external disturbances, in order to avoid uncovered or wrong defined areas during the post-processing. In this article we analyzed and compared by simulation the use of a non-linear control technique with a PID control to stabilize the airplane’s attitude and height, to prove that in some cases only a linear control technique is enough to stabilize the UAV and also probe that the amount of energy to control the UAV is similar in both techniques. So the majority of computational resources can be assigned to object detection and collision avoidance tasks, for vehicles under 5 kilograms.","PeriodicalId":426616,"journal":{"name":"2019 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129189924","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 Carrot in Probabilistic Grid Approach for Quadrotor Line Following on Vertical Surfaces","authors":"Jyishane Liu, Gongyi Lee","doi":"10.1109/ICUAS.2019.8797792","DOIUrl":"https://doi.org/10.1109/ICUAS.2019.8797792","url":null,"abstract":"Most current research deals with line following at an aerial position with respect to the target object. We address a task scenario of close-up inspection on vertical surfaces. Line following is a basic component for the close-up inspection process on high rise structures, such as building façade, tower skeleton, and wind turbine blade. The inspection process may also require slower and accurate line following movement for anomaly detection in higher resolution. In this paper, we formulate the problem of accurate line following on vertical surfaces. We propose the carrot in probabilistic grid algorithm for accurate line following on vertical surfaces and work through a refinement for performance improvement. We implemented the carrot in probabilistic grid algorithm on a ready-to-fly quadrotor (micro rotary UAV) and evaluated the line following performance with several forms of geometric line segments on a vertical surface. Experimental results based on extensive actual flight tests show satisfactory performance of the carrot in probabilistic grid algorithm over the benchmark line following algorithm.","PeriodicalId":426616,"journal":{"name":"2019 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117020450","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":"Deep RC: Enabling Remote Control through Deep Learning","authors":"Jaron Ellingson, Gary Ellingson, Tim McLain","doi":"10.1109/ICUAS.2019.8798325","DOIUrl":"https://doi.org/10.1109/ICUAS.2019.8798325","url":null,"abstract":"Human remote-control (RC) pilots have the ability to perceive the position and orientation of an aircraft using only third-person-perspective visual sensing. While novice pilots often struggle when learning to control RC aircraft, they can sense the orientation of the aircraft with relative ease. In this paper, we hypothesize and demonstrate that deep learning methods can be used to mimic the human ability to perceive the orientation of an aircraft from monocular imagery. This work uses a neural network to directly sense the aircraft attitude. The network is combined with more conventional image processing methods for visual tracking of the aircraft. The aircraft track and attitude measurements from the convolutional neural network (CNN) are combined in a particle filter that provides a complete state estimate of the aircraft. The network topology, training, and testing results are presented as well as filter development and results. The proposed method was tested in simulation and hardware flight demonstrations.","PeriodicalId":426616,"journal":{"name":"2019 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115431243","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 Hybrid Algorithm for Modifying and Tracking Connectivity in UAV Teams","authors":"James Trimble, D. Pack, Z. Ruble","doi":"10.1109/ICUAS.2019.8798343","DOIUrl":"https://doi.org/10.1109/ICUAS.2019.8798343","url":null,"abstract":"Algebraic connectivity is the second-smallest eigenvalue of the Laplacian matrix and can be used as a metric for the robustness and efficiency of a network. This connectivity concept applies to teams of multiple unmanned aerial vehicles (UAVs) performing cooperative tasks, such as arriving at a consensus. As a UAV team completes its mission, it often needs to control the network connectivity. The algebraic connectivity can be controlled by altering edge weights through movement of individual UAVs in the team, or by adding and deleting edges. The addition and deletion problem for algebraic connectivity, however, is NP-hard and caused multiple heuristic methods to be developed. A leading method, the greedy perturbation heuristic, is efficient but not always effective. An alternative method, the bisection method, is highly effective but less efficient. The primary contributions of this paper are identification of a set of features and a classifier for predicting when the greedy perturbation heuristic is successful, and presentation of a hybrid algorithm which combines these two methods to provide both effectiveness and efficiency.","PeriodicalId":426616,"journal":{"name":"2019 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116219366","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}
M. Kalaitzakis, Sreehari Rajan Kattil, N. Vitzilaios, D. Rizos, M. Sutton
{"title":"Dynamic Structural Health Monitoring using a DIC-enabled drone","authors":"M. Kalaitzakis, Sreehari Rajan Kattil, N. Vitzilaios, D. Rizos, M. Sutton","doi":"10.1109/ICUAS.2019.8798270","DOIUrl":"https://doi.org/10.1109/ICUAS.2019.8798270","url":null,"abstract":"The structural assessment of infrastructure components, such as bridges and railroad tracks, is crucial for their safe operation. The process is expensive and time-consuming given the large amount of structures that require systematic inspection. Over the last decades, non-contact measurement techniques have been developed that allow remote evaluation of a structure that is accurate and not labor intensive. One of the techniques in this field is Digital Image Correlation (DIC), that has proven to be an accurate method to measure 2D and 3D shape and deformation fields in structures. In current applications, DIC makes use of a stationary stereo vision camera system that is rigidly placed close to the inspected object. In this paper, an autonomous system of a drone equipped with a DIC camera system, that successfully performs remote structural evaluation of a railroad tie, is presented. This development significantly increases the portability of DIC, resulting in faster deployment of DIC/Drone measurement systems that can reach remote locations and perform fast and accurate structural health monitoring.","PeriodicalId":426616,"journal":{"name":"2019 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126283094","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}