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Multirotor UAS Sense and Avoid with Sensor Fusion

2019 Drone aircraft
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Release : 2019
Genre : Drone aircraft
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Multirotor UAS Sense and Avoid with Sensor Fusion by : Jonathan Mark Buchholz

Download or read book Multirotor UAS Sense and Avoid with Sensor Fusion written by Jonathan Mark Buchholz. This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt: "In this thesis, the key concepts of independent autonomous Unmanned Aircraft Systems (UAS) are explored including obstacle detection, dynamic obstacle state estimation, and avoidance strategy. This area is explored in pursuit of determining the viability of UAS Sense and Avoid (SAA) in static and dynamic operational environments. This exploration is driven by dynamic simulation and post-processing of real-world data. A sensor suite comprised of a 3D Light Detection and Ranging (LIDAR) sensor, visual camera, and 9 Degree of Freedom (DOF) Inertial Measurement Unit (IMU) was found to be beneficial to autonomous UAS SAA in urban environments. Promising results are based on to the broadening of available information about a dynamic or fixed obstacle via pixel-level LIDAR point cloud fusion and the combination of inertial measurements and LIDAR point clouds for localization purposes. However, there is still a significant amount of development required to optimize a data fusion method and SAA guidance method."--Abstract.

Multi-rotor Platform Based UAV Systems

2020-03-17 Technology & Engineering
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Release : 2020-03-17
Genre : Technology & Engineering
Kind : eBook
Book Rating : 513/5 ( reviews)

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Book Synopsis Multi-rotor Platform Based UAV Systems by : Franck Cazaurang

Download or read book Multi-rotor Platform Based UAV Systems written by Franck Cazaurang. This book was released on 2020-03-17. Available in PDF, EPUB and Kindle. Book excerpt: Multi-rotor Platform Based UAV Systems provides an excellent opportunity for experiential learning, capability augmentation and confidence-building for senior level undergraduates, entry-level graduates, engineers working in government agencies, and industry involved in UAV R&D. Topics in this book include an introduction to VTOL multi-copter UAV platforms, UAV system architecture, integration in the national airspace, including UAV classification and associated missions, regulation and safety, certification and air traffic management, integrated mission planning, including autonomous fault tolerant path planning and vision based auto landing systems, flight mechanics and stability, dynamic modeling and flight controller development. Other topics covered include sense, detect and avoid systems, flight testing, including safety assessment instrumentation and data acquisition telemetry, synchronization data fusion, the geo-location of identified targets, and much more. Provides an excellent opportunity for experiential learning, capability augmentation and confidence building for senior level undergraduates, entry-level graduates and engineers working in government, and industry involved in UAV R&D Includes MATLAB/SIMULINK computational tools and off-the-shelf hardware implementation tutorials Offers a student centered approach Provides a quick and efficient means to conceptualize, design, synthesize and analyze using modeling and simulations Offers international perspective and appeal for engineering students and professionals

Sense and Avoid in UAS

2012-04-30 Technology & Engineering
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Release : 2012-04-30
Genre : Technology & Engineering
Kind : eBook
Book Rating : 755/5 ( reviews)

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Book Synopsis Sense and Avoid in UAS by : Plamen Angelov

Download or read book Sense and Avoid in UAS written by Plamen Angelov. This book was released on 2012-04-30. Available in PDF, EPUB and Kindle. Book excerpt: There is increasing interest in the potential of UAV (Unmanned Aerial Vehicle) and MAV (Micro Air Vehicle) technology and their wide ranging applications including defence missions, reconnaissance and surveillance, border patrol, disaster zone assessment and atmospheric research. High investment levels from the military sector globally is driving research and development and increasing the viability of autonomous platforms as replacements for the remotely piloted vehicles more commonly in use. UAV/UAS pose a number of new challenges, with the autonomy and in particular collision avoidance, detect and avoid, or sense and avoid, as the most challenging one, involving both regulatory and technical issues. Sense and Avoid in UAS: Research and Applications covers the problem of detect, sense and avoid in UAS (Unmanned Aircraft Systems) in depth and combines the theoretical and application results by leading academics and researchers from industry and academia. Key features: Presents a holistic view of the sense and avoid problem in the wider application of autonomous systems Includes information on human factors, regulatory issues and navigation, control, aerodynamics and physics aspects of the sense and avoid problem in UAS Provides professional, scientific and reliable content that is easy to understand, and Includes contributions from leading engineers and researchers in the field Sense and Avoid in UAS: Research and Applications is an invaluable source of original and specialised information. It acts as a reference manual for practising engineers and advanced theoretical researchers and also forms a useful resource for younger engineers and postgraduate students. With its credible sources and thorough review process, Sense and Avoid in UAS: Research and Applications provides a reliable source of information in an area that is fast expanding but scarcely covered.

Engineering UAS Applications: Sensor Fusion, Machine Vision and Mission Management

2023-07-31 Technology & Engineering
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Release : 2023-07-31
Genre : Technology & Engineering
Kind : eBook
Book Rating : 840/5 ( reviews)

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Book Synopsis Engineering UAS Applications: Sensor Fusion, Machine Vision and Mission Management by : Jesús Garcia

Download or read book Engineering UAS Applications: Sensor Fusion, Machine Vision and Mission Management written by Jesús Garcia. This book was released on 2023-07-31. Available in PDF, EPUB and Kindle. Book excerpt: Unmanned aerial systems (UAS) have evolved rapidly in recent years thanks to advances in microelectromechanical components, navigation, perception, and artificial intelligence, allowing for a fast development of autonomy. This book presents general approaches to develop, test, and evaluate critical functions such as navigation, obstacle avoidance and perception, and the capacity to improve performance in real and simulated scenarios. It provides the practical knowledge to install, analyze and evaluate UAS solutions working in real systems; illustrates how to use and configure complete platforms and software tools; and reviews the main enabling technologies applied to develop UAS, possibilities and evaluation methodology. You will get the tools you need to evaluate navigation and obstacle avoidance functions, object detection, and planning and landing alternatives in simulated conditions. The book also provides helpful guidance on the integration of additional sensors (video, weather, meteorological) and communication networks to build IoT solutions. This is an important book for practitioners and researchers interested in integrating advanced techniques in the fields of AI, sensor fusion and mission management, and anyone interest in applying and testing advanced algorithms in UAS platforms.

Uas Collision Warning and Passive Sensor Fusion Algorithms for Multiple Acoustic Transient Emitter Localization

2017 Electronic dissertations
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Release : 2017
Genre : Electronic dissertations
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Uas Collision Warning and Passive Sensor Fusion Algorithms for Multiple Acoustic Transient Emitter Localization by : Wenbo Dou

Download or read book Uas Collision Warning and Passive Sensor Fusion Algorithms for Multiple Acoustic Transient Emitter Localization written by Wenbo Dou. This book was released on 2017. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation considers two important topics in the area of estimation, target tracking and sensor fusion. The first topic is closest point of approach (CPA) prediction for unmanned aircraft systems (UAS) collision warning and the second topic is passive sensor fusion for multiple acoustic transient emitter localization. To operate within a controlled airspace, UAS must have the capability to sense and avoid collisions with non-cooperative aircraft. This dissertation presents an inexpensive system design and develops an algorithm for estimating the CPA between the ownship and the intruder and a collision warning scheme using only bistatic range and range rate measurements from a multistatic radar. Since it is vital for soldiers to be able to accurately localize sources of hostile fire in the battlefield for situational awareness and threat assessment, this dissertation develops both centralized and distributed passive sensor fusion algorithms to accurately estimate the number of acoustic transient emitters and their locations using bearing and time of arrival measurements.

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