@article{funderburk_kesler_sridhar_sichitiu_guvenc_dutta_zajkowski_marojevic_2022, title={AERPAW Vehicles: Hardware and Software Choices}, DOI={10.1145/3539493.3539583}, abstractNote={AERPAW (Aerial Experimentation and Research Platform for Advanced Wireless) is an advanced wireless research platform centered around fully programmable radios and fully programmable vehicles. In this paper we detail the vehicle aspects of the testbed, including the AERPAW UAVs, UGVs, as well as the hardware and software choices made by the team, as well as our experience earned in the past few years.}, journal={PROCEEDINGS OF THE 2022 EIGHTH WORKSHOP ON MICRO AERIAL VEHICLE NETWORKS, SYSTEMS, AND APPLICATIONS, DRONET 2022}, author={Funderburk, Mark and Kesler, John and Sridhar, Keshav and Sichitiu, Mihail L. and Guvenc, Ismail and Dutta, Rudra and Zajkowski, Thomas and Marojevic, Vuk}, year={2022}, pages={37–42} }
 @article{samal_dutta_guvenc_sichitiu_floyd_zajkowski_2022, title={Automating Operator Oversight in an Autonomous, Regulated, Safety-Critical Research Facility}, ISSN={["1095-2055"]}, DOI={10.1109/ICCCN54977.2022.9868858}, abstractNote={The deployment at scale of Unmanned Aerial Systems have become increasingly imminent in the last few years, even as concerns regarding the dependability and predictability of their command and control channels remain fully to be addressed. The intersection of ground-to-air wireless communications, aerial networking, and trajectory control has become a research area of sharp interest. The validation of such research, beyond the theoretical/simulation stage, requires a facility that is both realistic, and admits of potentially risky or unsafe operation, while in the end guaranteeing personnel and equipment safety. The AERPAW project is an ambitious project, funded by the PAWR program of the US NSF, to create a remote accessible research platform for a research facility to enable such validation. To enable remote usage of such a testbed, yet provide the researcher with complete experimental freedom, the AERPAW facility includes a combination of architectural mechanisms that balance freedom of experimentation with regulatory compliance and safety. In this paper, we articulate the challenges and considerations of designing such mechanisms, and present the architectural features of AERPAW that attempt to realize these lofty goals.}, journal={2022 31ST INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS (ICCCN 2022)}, author={Samal, Tripti and Dutta, Rudra and Guvenc, Ismail and Sichitiu, Mihail L. and Floyd, Brian and Zajkowski, Thomas}, year={2022} }
 @article{maeng_guvenc_sichitiu_floyd_dutta_zajkowski_ozdemir_mushi_2022, title={National Radio Dynamic Zone Concept with Autonomous Aerial and Ground Spectrum Sensors}, ISSN={["2164-7038"]}, DOI={10.1109/ICCWORKSHOPS53468.2022.9814648}, abstractNote={National radio dynamic zone (NRDZs) are intended to be geographically bounded areas within which controlled experiments can be carried out while protecting the nearby licensed users of the spectrum. An NRDZ will facilitate research and development of new spectrum technologies, waveforms, and protocols, in typical outdoor operational environments of such technologies. In this paper, we introduce and describe an NRDZ concept that relies on a combination of autonomous aerial and ground sensor nodes for spectrum sensing and radio environment monitoring (REM). We elaborate on key characteristics and features of an NRDZ to enable advanced wireless experimentation while also coexisting with licensed users. Some preliminary results based on simulation and experimental evaluations are also provided on out-of-zone leakage monitoring and real-time REMs.}, journal={2022 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS)}, author={Maeng, S. J. and Guvenc, I and Sichitiu, M. L. and Floyd, B. and Dutta, R. and Zajkowski, T. and Ozdemir, O. and Mushi, M.}, year={2022}, pages={687–692} }
 @article{mushi_joshi_dutta_guvenc_sichitiu_floyd_zajkowski_2022, title={The AERPAW Experiment Workflow - Considerations for Designing Usage Models for a Computing-supported Physical Research Platform}, ISSN={["2159-4228"]}, DOI={10.1109/INFOCOMWKSHPS54753.2022.9798061}, abstractNote={The AERPAW project is an ambitious project, funded by the PAWR program of the US NSF, to create a remote accessible research platform for a research facility with some distinct features that makes its usage model unique, and non-obvious to many researchers desirous of making use of this platform. AERPAW is primarily a physical resource (not a computing or cyber-resource) - the RF enviroment, and the airspace. Experimenters can explore them through radio transceivers and Unmanned Aerial Vehicles, both under the Experimenter’s programmatic control. Since the entire workflow of the user is through the mediation of virtual computing environments, users often tend to think of AERPAW as a computing resource, and find some of the experiment workflow counter-intuitive. In this paper, we articulate the challenges and considerations of designing an experiment workflow that balances the need for guaranteeing safe testbed operation, and providing flexible programmatic access to this unique resource.}, journal={IEEE INFOCOM 2022 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS)}, author={Mushi, Magreth and Joshi, Harshvardhan P. and Dutta, Rudra and Guvenc, Ismail and Sichitiu, Mihail L. and Floyd, Brian and Zajkowski, Thomas}, year={2022} }
 @article{zajkowski_dickinson_hiers_holley_williams_paxton_martinez_walker_2016, title={Evaluation and use of remotely piloted aircraft systems for operations and research - RxCADRE 2012}, volume={25}, ISSN={["1448-5516"]}, DOI={10.1071/wf14176}, abstractNote={Small remotely piloted aircraft systems (RPAS), also known as unmanned aircraft systems (UAS), are expected to provide important contributions to wildland fire operations and research, but their evaluation and use have been limited. Our objectives were to leverage US Air Force-controlled airspace to (1) deploy RPAS in support of the 2012 Prescribed Fire Combustion and Atmospheric Dynamics Research (RxCADRE) project campaign objectives, including fire progression at multiple scales and (2) assess tactical deployment of multiple RPAS with manned flights in support of incident management. We report here on planning for the missions, including the logistics of integrating RPAS into a complex operations environment, specifications of the aircraft and their measurements, execution of the missions and considerations for future missions. Deployments of RPAS ranged both in time aloft and in size, from the Aeryon Scout quadcopter to the fixed-wing G2R and ScanEagle UAS. Real-time video feeds to incident command staff supported prescribed fire operations and a concept of operations (a planning exercise) was implemented and evaluated for fires in large and small burn blocks. RPAS measurements included visible and long-wave infrared (LWIR) imagery, black carbon, air temperature, relative humidity and three-dimensional wind speed and direction.}, number={1}, journal={INTERNATIONAL JOURNAL OF WILDLAND FIRE}, author={Zajkowski, Thomas J. and Dickinson, Matthew B. and Hiers, J. Kevin and Holley, William and Williams, Brett W. and Paxton, Alexander and Martinez, Otto and Walker, Gregory W.}, year={2016}, pages={114–128} }
 @article{ottmar_hiers_butler_clements_dickinson_hudak_o'brien_potter_rowell_strand_et al._2016, title={Measurements, datasets and preliminary results from the RxCADRE project-2008, 2011 and 2012}, volume={25}, ISSN={["1448-5516"]}, DOI={10.1071/wf14161}, abstractNote={The lack of independent, quality-assured field data prevents scientists from effectively evaluating and advancing wildland fire models. To rectify this, scientists and technicians convened in the southeastern United States in 2008, 2011 and 2012 to collect wildland fire data in six integrated core science disciplines defined by the fire modelling community. These were fuels, meteorology, fire behaviour, energy, smoke emissions and fire effects. The campaign is known as the Prescribed Fire Combustion and Atmospheric Dynamics Research Experiment (RxCADRE) and sampled 14 forest and 14 non-forest sample units associated within 6 small replicate (,10 ha) and 10 large operational (between 10and1000ha)prescribedfires.Precampaignplanningincludedidentifyinghostingagenciesreceptivetoresearchandthe development of study, logistics and safety plans. Data were quality-assured, reduced, analysed and formatted and placed into a globally accessible repository maintained by the US Forest Service Research Data Archive. The success of the RxCADRE project led to the commencement of a follow-on larger multiagency project called the Fire and Smoke Model Evaluation Experiment (FASMEE). This overview summarises the RxCADRE project and nine companion papers that describe the data collection, analysis and important conclusions from the six science disciplines. Additional keywords: fire behaviour, fire effects, fire model evaluation, fire weather, fuel, remote-piloted aircraft system, smoke.}, number={1}, journal={INTERNATIONAL JOURNAL OF WILDLAND FIRE}, author={Ottmar, Roger D. and Hiers, J. Kevin and Butler, Bret W. and Clements, Craig B. and Dickinson, Matthew B. and Hudak, Andrew T. and O'Brien, Joseph J. and Potter, Brian E. and Rowell, Eric M. and Strand, Tara M. and et al.}, year={2016}, pages={1–9} }
 @inproceedings{jeziorska_mitasova_petrasova_petras_divakaran_zajkowski_2016, title={Overland flow analysis using time series of sUAS- derived elevation models}, volume={3}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-84979525774&partnerID=MN8TOARS}, DOI={10.5194/isprs-annals-iii-8-159-2016}, abstractNote={Abstract. With the advent of the innovative techniques for generating high temporal and spatial resolution terrain models from Unmanned Aerial Systems (UAS) imagery, it has become possible to precisely map overland flow patterns. Furthermore, the process has become more affordable and efficient through the coupling of small UAS (sUAS) that are easily deployed with Structure from Motion (SfM) algorithms that can efficiently derive 3D data from RGB imagery captured with consumer grade cameras. We propose applying the robust overland flow algorithm based on the path sampling technique for mapping flow paths in the arable land on a small test site in Raleigh, North Carolina. By comparing a time series of five flights in 2015 with the results of a simulation based on the most recent lidar derived DEM (2013), we show that the sUAS based data is suitable for overland flow predictions and has several advantages over the lidar data. The sUAS based data captures preferential flow along tillage and more accurately represents gullies. Furthermore the simulated water flow patterns over the sUAS based terrain models are consistent throughout the year. When terrain models are reconstructed only from sUAS captured RGB imagery, however, water flow modeling is only appropriate in areas with sparse or no vegetation cover.}, number={8}, booktitle={International archives of the photogrammetry remote sensing and spatial}, author={Jeziorska, J. and Mitasova, Helena and Petrasova, A. and Petras, Vaclav and Divakaran, D. and Zajkowski, T.}, year={2016}, pages={159–166} }