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Mr. Andrew Weinert
MIT

Basic Info


Research Keywords & Expertise

0 Aviation
0 Modeling and Simulation
0 Open Source
0 Optimization
0 Bayes Methods

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Short Biography

Andrew Weinert is a member of the Homeland Protection and Air Traffic Control Division at MIT Lincoln Laboratory. Mr. Weinert joined the Laboratory in 2009, focusing on drone airspace integration and public safety information systems while supporting two R&D100 Award winning programs. His master's thesis focused on optimization of aircraft avoidance using information theory and parallel processing techniques. He received a MS in Electrical and Computer Engineering at Boston University and a BS in Security and Risk Analysis with minors in Information Science Technology for Aerospace Engineering and Natural Science from the Pennsylvania State University. Mr. Weinert also serves on the Pennsylvania State University College of Information Sciences Alumni Society Board, holds a FAA remote pilot certificate (Part 107), and a FCC amateur radio license.

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Software
Published: 19 July 2021
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MATLAB code to generate representative sUAS trajectories based open source GIS features

ACS Style

Andrew Weinert; Joel Kurucar; Dieter Schuldt. Airspace-Encounter-Models/em-model-geospatial: July 2021 - Initial Release. 2021, 1 .

AMA Style

Andrew Weinert, Joel Kurucar, Dieter Schuldt. Airspace-Encounter-Models/em-model-geospatial: July 2021 - Initial Release. . 2021; ():1.

Chicago/Turabian Style

Andrew Weinert; Joel Kurucar; Dieter Schuldt. 2021. "Airspace-Encounter-Models/em-model-geospatial: July 2021 - Initial Release." , no. : 1.

Software
Published: 19 July 2021
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Simulink model based on the J.W. Andrews mathematical model of air-to-air visual acquisition under daylight conditions

ACS Style

Ngaire Underhill; Andrew Weinert. mit-ll/degas-surveillance-jwandrews: Initial release. 2021, 1 .

AMA Style

Ngaire Underhill, Andrew Weinert. mit-ll/degas-surveillance-jwandrews: Initial release. . 2021; ():1.

Chicago/Turabian Style

Ngaire Underhill; Andrew Weinert. 2021. "mit-ll/degas-surveillance-jwandrews: Initial release." , no. : 1.

Software
Published: 19 July 2021
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Simulink model based on the J.W. Andrews mathematical model of air-to-air visual acquisition under daylight conditions

ACS Style

Ngaire Underhill; Andrew Weinert. mit-ll/degas-surveillance-jwandrews: Initial release. 2021, 1 .

AMA Style

Ngaire Underhill, Andrew Weinert. mit-ll/degas-surveillance-jwandrews: Initial release. . 2021; ():1.

Chicago/Turabian Style

Ngaire Underhill; Andrew Weinert. 2021. "mit-ll/degas-surveillance-jwandrews: Initial release." , no. : 1.

Software
Published: 19 July 2021
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MATLAB code to generate representative sUAS trajectories based open source GIS features

ACS Style

Andrew Weinert; Joel Kurucar; Dieter Schuldt. Airspace-Encounter-Models/em-model-geospatial: July 2021 - Initial Release. 2021, 1 .

AMA Style

Andrew Weinert, Joel Kurucar, Dieter Schuldt. Airspace-Encounter-Models/em-model-geospatial: July 2021 - Initial Release. . 2021; ():1.

Chicago/Turabian Style

Andrew Weinert; Joel Kurucar; Dieter Schuldt. 2021. "Airspace-Encounter-Models/em-model-geospatial: July 2021 - Initial Release." , no. : 1.

Brief report
Published: 01 July 2021 in Journal of Air Transportation
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ACS Style

Ngaire Underhill; Andrew Weinert. Applicability and Surrogacy of Uncorrelated Airspace Encounter Models at Low Altitudes. Journal of Air Transportation 2021, 29, 137 -141.

AMA Style

Ngaire Underhill, Andrew Weinert. Applicability and Surrogacy of Uncorrelated Airspace Encounter Models at Low Altitudes. Journal of Air Transportation. 2021; 29 (3):137-141.

Chicago/Turabian Style

Ngaire Underhill; Andrew Weinert. 2021. "Applicability and Surrogacy of Uncorrelated Airspace Encounter Models at Low Altitudes." Journal of Air Transportation 29, no. 3: 137-141.

Preprint
Published: 19 November 2020
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The capability to avoid other air traffic is a fundamental component of the layered conflict management system to ensure safe and efficient operations in the National Airspace System. The evaluation of systems designed to mitigate the risk of midair collisions of manned aircraft are based on large-scale modeling and simulation efforts and a quantitative volume defined as a near midair collision (NMAC). Since midair collisions are difficult to observe in simulation and are inherently rare events, basing evaluations on NMAC enables a more robust statistical analysis. However, an NMAC and its underlying assumptions for assessing close encounters with manned aircraft do not adequately consider the different characteristics of smaller UAS-only encounters. The primary contribution of this paper is to explore quantitative criteria to use when simulating two or more smaller UASs in sufficiently close proximity that a midair collision might reasonably occur and without any mitigations to reduce the likelihood of a midair collision. The criteria assumes a historically motivated upper bound for the collision likelihood and subsequently identify the smallest possible NMAC analogs. We also demonstrate the NMAC analogs can be used to support modeling and simulation activities.

ACS Style

Andrew Weinert; Luis Alvarez; Michael Owen; Benjamin Zintak. A Quantitatively Derived NMAC Analog for Smaller Unmanned Aircraft Systems Based on Unmitigated Collision Risk. 2020, 1 .

AMA Style

Andrew Weinert, Luis Alvarez, Michael Owen, Benjamin Zintak. A Quantitatively Derived NMAC Analog for Smaller Unmanned Aircraft Systems Based on Unmitigated Collision Risk. . 2020; ():1.

Chicago/Turabian Style

Andrew Weinert; Luis Alvarez; Michael Owen; Benjamin Zintak. 2020. "A Quantitatively Derived NMAC Analog for Smaller Unmanned Aircraft Systems Based on Unmitigated Collision Risk." , no. : 1.

Journal article
Published: 04 November 2020 in Aerospace
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As unmanned aerial systems (UASs) increasingly integrate into the US national airspace system, there is an increasing need to characterize how commercial and recreational UASs may encounter each other. To inform the development and evaluation of safety critical technologies, we demonstrate a methodology to analytically calculate all potential relative geometries between different UAS operations performing inspection missions. This method is based on a previously demonstrated technique that leverages open source geospatial information to generate representative unmanned aircraft trajectories. Using open source data and parallel processing techniques, we performed trillions of calculations to estimate the relative horizontal distance between geospatial points across sixteen locations.

ACS Style

Andrew Weinert. Method to Characterize Potential UAS Encounters Using Open Source Data. Aerospace 2020, 7, 158 .

AMA Style

Andrew Weinert. Method to Characterize Potential UAS Encounters Using Open Source Data. Aerospace. 2020; 7 (11):158.

Chicago/Turabian Style

Andrew Weinert. 2020. "Method to Characterize Potential UAS Encounters Using Open Source Data." Aerospace 7, no. 11: 158.

Review
Published: 22 July 2020
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With the integration of small unmanned aircraft systems into the U.S. National Airspace System, low altitude regions are being stressed in historically new ways. The FAA must understand and quantify the risk of collision between unmanned and manned aircraft during desired low altitude unmanned operations in order to produce regulations and standards. It is increasingly important to characterize how manned aircraft operate at these low altitudes, as historical assumptions are insufficient for modeling and simulation to support standards development. Yet technical challenges such as poor low altitude radar coverage and lack of required transponder equipage are significant barriers to characterizing the low altitude environment. In response, we conducted an extensive review of fixedwing and rotary-helicopter manned operations to characterize the low altitude environment.

ACS Style

Andrew Weinert; Gabriela Barrera. A Review of Low Altitude Manned Aviation Operations. 2020, 1 .

AMA Style

Andrew Weinert, Gabriela Barrera. A Review of Low Altitude Manned Aviation Operations. . 2020; ():1.

Chicago/Turabian Style

Andrew Weinert; Gabriela Barrera. 2020. "A Review of Low Altitude Manned Aviation Operations." , no. : 1.

Proceedings
Published: 01 January 2020 in Proceedings
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To support integration of unmanned aerial systems into the airspace, the low altitude airspace needs to be characterized. Identifying the frequency of different aircraft types, such as rotorcraft or fixed wing single engine, given criteria such as altitude, airspace class, or quantity of seats can inform surveillance requirements, flight test campaigns, or simulation safety thresholds for detect and avoid systems. We leveraged observations of Automatic Dependent Surveillance-Broadcast (ADS-B) equipped aircraft by the OpenSky Network for this characterization.

ACS Style

Andrew Weinert; Marc Brittain; Randal Guendel. Frequency of ADS-B Equipped Manned Aircraft Observed by the OpenSky Network. Proceedings 2020, 59, 15 .

AMA Style

Andrew Weinert, Marc Brittain, Randal Guendel. Frequency of ADS-B Equipped Manned Aircraft Observed by the OpenSky Network. Proceedings. 2020; 59 (1):15.

Chicago/Turabian Style

Andrew Weinert; Marc Brittain; Randal Guendel. 2020. "Frequency of ADS-B Equipped Manned Aircraft Observed by the OpenSky Network." Proceedings 59, no. 1: 15.

Preprint
Published: 31 October 2019
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As UASs increasingly integrate in to the US national airspace system, there is increasing need to characterize how UAS may encounter each other. To maintain safety and mitigate the risk of collisions during these encounter, vehicle to vehicle (V2V) technologies may be required. To inform the development of V2V and other safety critical technologies, we demonstrate a methodology to analytically calculate all potential relative geometries between different UAS operations performing inspection missions along three different types of linear infrastructure. This method is based on a previously demonstrated technique that leverages open source geospatial information to generate representative unmanned aircraft trajectories. Using high performance computing resources, we performed trillions of calculations to estimate the relative distance and azimuth between long linear infrastructure inspection missions across sixteen locations.

ACS Style

Andrew Weinert. Method to Characterize UAS Vehicle to Vehicle Encounters using Open Source Data by the UAS SARP. 2019, 1 .

AMA Style

Andrew Weinert. Method to Characterize UAS Vehicle to Vehicle Encounters using Open Source Data by the UAS SARP. . 2019; ():1.

Chicago/Turabian Style

Andrew Weinert. 2019. "Method to Characterize UAS Vehicle to Vehicle Encounters using Open Source Data by the UAS SARP." , no. : 1.

Conference paper
Published: 01 September 2019 in 2019 IEEE High Performance Extreme Computing Conference (HPEC)
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ACS Style

Jeffrey Liu; David Strohschein; Siddharth Samsi; Andrew Weinert. Large Scale Organization and Inference of an Imagery Dataset for Public Safety. 2019 IEEE High Performance Extreme Computing Conference (HPEC) 2019, 1 .

AMA Style

Jeffrey Liu, David Strohschein, Siddharth Samsi, Andrew Weinert. Large Scale Organization and Inference of an Imagery Dataset for Public Safety. 2019 IEEE High Performance Extreme Computing Conference (HPEC). 2019; ():1.

Chicago/Turabian Style

Jeffrey Liu; David Strohschein; Siddharth Samsi; Andrew Weinert. 2019. "Large Scale Organization and Inference of an Imagery Dataset for Public Safety." 2019 IEEE High Performance Extreme Computing Conference (HPEC) , no. : 1.

Conference paper
Published: 01 January 2019 in Proceedings of the Fourth Workshop on International Science of Smart City Operations and Platforms Engineering - SCOPE '19
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ACS Style

Liangkai Liu; Andrew Weinert; Xingzhou Zhang; Yifan Wang; Qingyang Zhang; Weisong Shi. AutoVAPS. Proceedings of the Fourth Workshop on International Science of Smart City Operations and Platforms Engineering - SCOPE '19 2019, 41 -47.

AMA Style

Liangkai Liu, Andrew Weinert, Xingzhou Zhang, Yifan Wang, Qingyang Zhang, Weisong Shi. AutoVAPS. Proceedings of the Fourth Workshop on International Science of Smart City Operations and Platforms Engineering - SCOPE '19. 2019; ():41-47.

Chicago/Turabian Style

Liangkai Liu; Andrew Weinert; Xingzhou Zhang; Yifan Wang; Qingyang Zhang; Weisong Shi. 2019. "AutoVAPS." Proceedings of the Fourth Workshop on International Science of Smart City Operations and Platforms Engineering - SCOPE '19 , no. : 41-47.

Conference paper
Published: 01 November 2018 in 2018 21st International Conference on Intelligent Transportation Systems (ITSC)
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Traffic cameras are commonly deployed monitoring components in road infrastructure networks, providing operators visual information about conditions at critical points in the network. However, human observers are often limited in their ability to process simultaneous information sources. Recent advancements in computer vision, driven by deep learning methods, have enabled general object recognition, unlocking opportunities for camera-based sensing beyond the existing human observer paradigm. In this paper, we present a Natural Language Pro-cessing-inspired approach, entitled Bag-of-Label-Words (BoLW), for analyzing image data sets using exclusively textual labels. The BoLW model represents the data in a conventional matrix form, enabling data compression and decomposition techniques, while preserving semantic interpretability. We apply the Latent Dirichlet Allocation topic model to decompose the label data into a small number of semantic topics. To illustrate our approach, we use freeway camera images collected from the Boston area between December 2017-January 2018. We analyze the cameras' sensitivity to weather events; identify temporal traffic patterns; and analyze the impact of infrequent events, such as the winter holidays and the “bomb cyclone” winter storm. This study demonstrates the flexibility of our approach, which allows us to analyze weather events and freeway traffic using only traffic camera image labels.

ACS Style

Jeffrey Liu; Andrew Weinert; Saurabh Amin. Semantic Topic Analysis of Traffic Camera Images. 2018 21st International Conference on Intelligent Transportation Systems (ITSC) 2018, 568 -574.

AMA Style

Jeffrey Liu, Andrew Weinert, Saurabh Amin. Semantic Topic Analysis of Traffic Camera Images. 2018 21st International Conference on Intelligent Transportation Systems (ITSC). 2018; ():568-574.

Chicago/Turabian Style

Jeffrey Liu; Andrew Weinert; Saurabh Amin. 2018. "Semantic Topic Analysis of Traffic Camera Images." 2018 21st International Conference on Intelligent Transportation Systems (ITSC) , no. : 568-574.

Proceedings article
Published: 01 October 2018 in 2018 IEEE International Symposium on Technologies for Homeland Security (HST)
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Video applications and analytics are routinely projected as a stressing and significant service of the Nationwide Public Safety Broadband Network. As part of a NIST PSCR funded effort, the New Jersey Office of Homeland Security and Preparedness and MIT Lincoln Laboratory have been developing a body worn camera dataset that will be made publically available, along with identifying and recommending a set of feasible potential video analytics that can be built using the dataset or others. The development of this dataset was informed by outreach and feedback from the public safety community. We overview the outreach process and proposed capabilities that could be developed with a video dataset tailored for public safety.

ACS Style

Andrew Weinert; Chris Budny. Outreach to Define a Public Safety Communications Model For Broadband Cellular Video. 2018 IEEE International Symposium on Technologies for Homeland Security (HST) 2018, 1 -4.

AMA Style

Andrew Weinert, Chris Budny. Outreach to Define a Public Safety Communications Model For Broadband Cellular Video. 2018 IEEE International Symposium on Technologies for Homeland Security (HST). 2018; ():1-4.

Chicago/Turabian Style

Andrew Weinert; Chris Budny. 2018. "Outreach to Define a Public Safety Communications Model For Broadband Cellular Video." 2018 IEEE International Symposium on Technologies for Homeland Security (HST) , no. : 1-4.

Conference paper
Published: 01 September 2018 in 2018 IEEE High Performance extreme Computing Conference (HPEC)
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This paper examines computing capabilities powered by photovoltaic fiber. The particular fiber examined is manufactured at the University of Maine Smart Materials Lab using organic photovoltaics. The power-generation capability of the fiber is discussed, and the effects of shading, orientation, and segment length are examined. We focus on the possibility of woven textiles to power small devices, and it is shown that for common consumer devices like cell phones, other technologies like thin-film photovoltaics are a better fit. The fiber is shown to be a viable renewable energy source for low-power applications, like wake-up radios at the leaf nodes of wireless mesh networks and discreet surveillance devices. The fiber can provide sufficient power to run these devices without requiring woven cells; several single strands are sufficient. Paths forward to enable the powering of larger devices are discussed, such as potential manufacturing techniques to handle the interconnect between multicomponent fibers when woven into panels.

ACS Style

James Hanford; Andrew Weinert. New Computing Frontiers Enabled via Photovoltaic Fiber Energy Generation. 2018 IEEE High Performance extreme Computing Conference (HPEC) 2018, 1 -7.

AMA Style

James Hanford, Andrew Weinert. New Computing Frontiers Enabled via Photovoltaic Fiber Energy Generation. 2018 IEEE High Performance extreme Computing Conference (HPEC). 2018; ():1-7.

Chicago/Turabian Style

James Hanford; Andrew Weinert. 2018. "New Computing Frontiers Enabled via Photovoltaic Fiber Energy Generation." 2018 IEEE High Performance extreme Computing Conference (HPEC) , no. : 1-7.

Journal article
Published: 01 July 2018 in Journal of Air Transportation
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Unmanned aircraft systems must demonstrate a capability to sense and avoid air traffic as part of a layered conflict management system to enable safe operations in the National Airspace System. During operations, an unmanned aircraft system should attempt to remain “well clear” to minimize the need for a collision avoidance action. Previously, a well-clear definition was adopted for large unmanned aircraft systems; however, this definition is not appropriate for small unmanned aircraft system weighing less than 55 lb operating at low altitudes. In response, this paper outlines research toward a definition of well clear for small unmanned aircraft systems, based on airborne collision risk, for midterm concepts of operations at low altitudes in nonterminal airspace.

ACS Style

Andrew Weinert; Scot Campbell; Adan Vela; Dieter Schuldt; Joel Kurucar. Well-Clear Recommendation for Small Unmanned Aircraft Systems Based on Unmitigated Collision Risk. Journal of Air Transportation 2018, 26, 113 -122.

AMA Style

Andrew Weinert, Scot Campbell, Adan Vela, Dieter Schuldt, Joel Kurucar. Well-Clear Recommendation for Small Unmanned Aircraft Systems Based on Unmitigated Collision Risk. Journal of Air Transportation. 2018; 26 (3):113-122.

Chicago/Turabian Style

Andrew Weinert; Scot Campbell; Adan Vela; Dieter Schuldt; Joel Kurucar. 2018. "Well-Clear Recommendation for Small Unmanned Aircraft Systems Based on Unmitigated Collision Risk." Journal of Air Transportation 26, no. 3: 113-122.

Article
Published: 26 April 2018 in Journal of Intelligent & Robotic Systems
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Large-scale infrastructures are prone to simultaneous faults when struck by a natural or man-made event. The current operating procedure followed by many utilities needs improvement, both in terms of monitoring performance and time to repair. Motivated by the recent technological progress on small Unmanned Aerial Systems (sUAS), we propose a practical framework to integrate the monitoring capabilities of sUAS into standard utility repair operations. A key aspect of our framework is the use of monitoring locations for sUAS-based inspection of failures within a certain spatial zone (called a localization set). This set is defined based on the alerts from fixed sensors or customer calls. The positioning of monitoring locations is subject to several factors such as sUAS platform, network topology, and airspace restrictions. We formulate the problem of minimizing the maximum time to respond to all failures by routing repair vehicles to various localization sets and exploring these sets using sUAS. The formulation admits a natural decomposition into two sub-problems: the sUAS Network Exploration Problem (SNEP); and the Repair Vehicle Routing Problem (RVRP). Standard solvers can be used to solve the RVRP in a scalable manner; however, solving the SNEP for each localization set can be computationally challenging. To address this limitation, we propose a set cover based heuristic to approximately solve the SNEP. We implement the overall framework on a benchmark network.

ACS Style

Andrew C. Lee; Mathieu Dahan; Andrew Weinert; Saurabh Amin. Leveraging sUAS for Infrastructure Network Exploration and Failure Isolation. Journal of Intelligent & Robotic Systems 2018, 93, 385 -413.

AMA Style

Andrew C. Lee, Mathieu Dahan, Andrew Weinert, Saurabh Amin. Leveraging sUAS for Infrastructure Network Exploration and Failure Isolation. Journal of Intelligent & Robotic Systems. 2018; 93 (1-2):385-413.

Chicago/Turabian Style

Andrew C. Lee; Mathieu Dahan; Andrew Weinert; Saurabh Amin. 2018. "Leveraging sUAS for Infrastructure Network Exploration and Failure Isolation." Journal of Intelligent & Robotic Systems 93, no. 1-2: 385-413.

Conference paper
Published: 01 October 2017 in MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM)
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Ground personnel at the tactical edge often lack data and analytics that would increase their effectiveness. To address this problem, this work investigates methods to deploy cloud computing capabilities in tactical environments. Our approach is to identify representative applications and to design a system that spans the software/hardware stack to support such applications while optimizing the use of scarce resources. This paper presents our high-level design and the results of initial experiments that indicate the validity of our approach.

ACS Style

Warren Smith; Greg Kuperman; Michael Chan; Eric Morgan; Huy Nguyen; Nabil Schear; Bich Vu; Andrew Weinert; Matthew Weyant; Daniel Whisman. Cloud computing in tactical environments. MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM) 2017, 882 -887.

AMA Style

Warren Smith, Greg Kuperman, Michael Chan, Eric Morgan, Huy Nguyen, Nabil Schear, Bich Vu, Andrew Weinert, Matthew Weyant, Daniel Whisman. Cloud computing in tactical environments. MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM). 2017; ():882-887.

Chicago/Turabian Style

Warren Smith; Greg Kuperman; Michael Chan; Eric Morgan; Huy Nguyen; Nabil Schear; Bich Vu; Andrew Weinert; Matthew Weyant; Daniel Whisman. 2017. "Cloud computing in tactical environments." MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM) , no. : 882-887.

Conference paper
Published: 01 October 2015 in 2015 IEEE Global Humanitarian Technology Conference (GHTC)
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During a disaster, conventional communications infrastructures are often compromised, which prevents local populations from contacting family, friends, and colleagues. The lack of communication also impedes responder efforts to gather, organize, and disseminate information. This problem is made worse by the unique cost and operational constraints typically associated with the humanitarian assistance and disaster relief (HADR) space. In response, we present a low-cost, scalable system that creates a wide-area, best-effort, ad-hoc wireless network for emergency information. The Communication Assistance Technology over Ad-Hoc Networks (CATAN) system embraces the maker and do it yourself (DIY) communities by leveraging open-source and hobbyist technologies to create cheap, lightweight, battery-powered nodes that can be deployed quickly for a variety of operations. CATAN enables geographically separated users to share information on standard interfaces, i.e. web and SMS, over commonly-used communication interfaces, i.e. GSM and Wi-Fi. These interfaces enable CATAN to accommodate a variety of digital devices while leveraging the global ubiquity of cellular devices. By emphasizing simple, mature, technologies, CATAN avoids many problems that hinder many general purpose ad-hoc technologies. We have tested our infrastructure in a variety of environments and have open-sourced the entire project to encourage collaboration with the greater HADR community.

ACS Style

Andrew Weinert; Hongyi Hu; Chad Spensky; Benjamin Bullough. Using open-source hardware to support disadvantaged communications. 2015 IEEE Global Humanitarian Technology Conference (GHTC) 2015, 79 -86.

AMA Style

Andrew Weinert, Hongyi Hu, Chad Spensky, Benjamin Bullough. Using open-source hardware to support disadvantaged communications. 2015 IEEE Global Humanitarian Technology Conference (GHTC). 2015; ():79-86.

Chicago/Turabian Style

Andrew Weinert; Hongyi Hu; Chad Spensky; Benjamin Bullough. 2015. "Using open-source hardware to support disadvantaged communications." 2015 IEEE Global Humanitarian Technology Conference (GHTC) , no. : 79-86.

Conference paper
Published: 01 September 2015 in 2015 IEEE High Performance Extreme Computing Conference (HPEC)
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Developing a collision avoidance system that can meet safety standards required of commercial aviation is challenging. A dynamic programming approach to collision avoidance has been developed to optimize and generate logics that are robust to the complex dynamics of the national airspace. The current approach represents the aircraft avoidance problem as Markov Decision Processes and independently optimizes a horizontal and vertical maneuver avoidance logics. This is a result of the current memory requirements for each logic, simply combining the logics will result in a significantly larger representation. The “curse of dimensionality” makes it computationally inefficient and infeasible to optimize this larger representation. However, existing and future collision avoidance systems have mostly defined the decision process by hand. In response, a simulation-based framework was built to better understand how each potential state quantifies the aircraft avoidance problem with regards to safety and operational components. The framework leverages recent advances in signals processing and database, while enabling the highest fidelity analysis of Monte Carlo aircraft encounter simulations to date. This framework enabled the calculation of how well each state of the decision process quantifies the collision risk and the associated memory requirements. Using this analysis, a collision avoidance logic that leverages both horizontal and vertical actions was built and optimized using this simulation-based approach.

ACS Style

Andrew Weinert. A signals processing and big data framework for Monte Carlo aircraft encounters. 2015 IEEE High Performance Extreme Computing Conference (HPEC) 2015, 1 -6.

AMA Style

Andrew Weinert. A signals processing and big data framework for Monte Carlo aircraft encounters. 2015 IEEE High Performance Extreme Computing Conference (HPEC). 2015; ():1-6.

Chicago/Turabian Style

Andrew Weinert. 2015. "A signals processing and big data framework for Monte Carlo aircraft encounters." 2015 IEEE High Performance Extreme Computing Conference (HPEC) , no. : 1-6.