{"title":"Terra-22: an Aerial Soil Sampling in Densely Compacted Agricultural Fields","authors":"Hugo B Klopfenstein, Alexis Lussier-Desbiens","doi":"10.1139/dsa-2023-0010","DOIUrl":"https://doi.org/10.1139/dsa-2023-0010","url":null,"abstract":"Soil sampling is used in agriculture to monitor fields and plan fertilizer application. This task is typically performed manually, but ground robots have recently been introduced. However, ground robots are often slow and heavy, which contributes to soil compaction. Fast-flying drones could provide an interesting alternative to ground robots. However, drones are severely limited in their payload and in the forces that they can apply to the soil. This paper presents the Terra-22, the first airborne system capable of sampling densely compacted agricultural soils. To do so, many challenges were addressed, including the development of (i) a high-power density drilling system that outperforms typical brushed DC gear motor by 39%, (ii) a drill design that is 48% lighter than traditional steel auger drills and that keeps cross-contamination under 4%, and (iii) a drill penetration rate controller that reduces the torque requirement by 33% and the axial force requirement by eight folds when compared to a constant penetration speed controller. Outdoor soil sampling tests in a corn field (sandy loam soil, compaction between 0.8 MPa and 2 MPa) demonstrated a 94% success rate on flat terrain and a sampling duration under one minute.","PeriodicalId":478892,"journal":{"name":"Drone Systems and Applications","volume":"29 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140699455","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}
Devon Wanner, Hashim A. Hashim, Siddhant Srivastava, Alex Steinhauer
{"title":"UAV Avionics Safety, Certification, Accidents, Redundancy, Integrity and Reliability: A Comprehensive Review and Future Trends","authors":"Devon Wanner, Hashim A. Hashim, Siddhant Srivastava, Alex Steinhauer","doi":"10.1139/dsa-2023-0091","DOIUrl":"https://doi.org/10.1139/dsa-2023-0091","url":null,"abstract":"This paper underscores the significance of safety and reliability in the realm of Unmanned Aerial Vehicle (UAV) technologies, and how regulations play a pivotal role in ensuring their responsible use. We have analyzed safety incidents and trends both in Canada and globally, noting a decline in incidents attributed to enhanced regulations. Our comparative analysis of different UAV technologies identified batteries as the most reliable power supply, Global Navigation Satellite System (GNSS) as the most effective navigation system, and Light Detection and Ranging (LiDAR) as the optimal optical sensor due to regulatory compliance and system redundancies. We also examined the regulatory framework in Canada, comparing it with the risk-based approach of the European Union Aviation Safety Agency (EASA) and the efforts of Joint Authorities for Rule-making on Unmanned Systems (JARUS) towards global harmonization. Furthermore, we highlighted emerging trends in automation and flight control technologies, with a focus on European regulations shaping UAV automation trends. In conclusion, by adhering to best practices from other regulatory bodies, embracing emerging trends, and adopting a risk-based approach, Canada can promote the growth of the UAV industry while ensuring safety and reliability in UAV technologies.","PeriodicalId":478892,"journal":{"name":"Drone Systems and Applications","volume":"417 2‐3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140719315","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":"Optimising Camera and Flight Settings for Ultra-fine Resolution Mapping of Artificial Night-Time Lights Using an Unoccupied Aerial System","authors":"Dipendra Bhattarai, A. Lucieer","doi":"10.1139/dsa-2023-0086","DOIUrl":"https://doi.org/10.1139/dsa-2023-0086","url":null,"abstract":"Light pollution from Artificial night-time lights (ANTL) is a global health, economic, and environmental issue. Remote sensing and unoccupied aerial systems (UAS) provide efficient and cost-effective ways to study ANTL spatial patterns and dynamics over large areas. With ultrahigh-resolution images that can identify individual light sources, UAS offers more detailed image than satellite imagery. However, standardisation and optimisation of camera and flight settings during the acquisition ANTL UAS images is lacking. The aim of this paper is to determine the camera and flight settings to capture high-quality ANTL using a DJI Matrice 300 RTK aircraft with a Zenmuse P1 camera. It emphasises the importance of selecting appropriate camera settings for high-quality ANTL images, which can benefit future research. Results show significant image quality gains when camera and flight settings are chosen appropriately in relation to the lighting conditions. We present three experiments demonstrating a range of camera settings, and we provide practical recommendations for high-quality night-time image collection. The optimal camera settings were determined to be an exposure time of 0.0166 s, ISO of 25600, and aperture of 2.97. This experiment produced outstanding results, with 85% of images having a blur extent below 0.40.","PeriodicalId":478892,"journal":{"name":"Drone Systems and Applications","volume":"55 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140231234","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}
David M. Bird, Christina Petalas, Paul Pace, Kyle H. Elliott
{"title":"Using drones to measure the status of cavity-nesting raptors","authors":"David M. Bird, Christina Petalas, Paul Pace, Kyle H. Elliott","doi":"10.1139/dsa-2023-0121","DOIUrl":"https://doi.org/10.1139/dsa-2023-0121","url":null,"abstract":"Many wildlife species, including hole-nesting raptors, occupy cavities that are challenging or unsafe for observers to examine. We conducted field tests using an inexpensive, off-the-shelf camera attached to an affordable commercial drone to assess the reproductive success of American kestrels (Falco sparverius), a small, cavity-nesting raptor. Specifically, we developed a system that consisted of (1) a wireless mini camera transmitting images to an observer’s phone and (2) a Mini-Mavic 2 drone controlled through direct line-of-sight piloting. Following successful preliminary flights involving chicken eggs and other inanimate objects, we field-tested the system in two kestrel nest boxes in the wild. The system accurately recorded the contents of all nest boxes during the trials, provided the wind speed remained below approximately 2.5 m/s (5 knots). However, wind speeds at this level were observed only 40% of the days in our study area during kestrel breeding, which limited the surveying opportunities. Our system offers a promising method for surveying wildlife inhabiting inaccessible cavities.","PeriodicalId":478892,"journal":{"name":"Drone Systems and Applications","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140229953","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}
Debbie Jewitt, Rickert Van Der Westhuisen, Adrian Armstrong
{"title":"An assessment of survey techniques using Unmanned Aerial Vehicles to monitor Nile crocodiles (Crocodylus niloticus)","authors":"Debbie Jewitt, Rickert Van Der Westhuisen, Adrian Armstrong","doi":"10.1139/dsa-2023-0124","DOIUrl":"https://doi.org/10.1139/dsa-2023-0124","url":null,"abstract":"Monitored populations of the Nile crocodile Crocodylus niloticus at the southern end of its distribution, in the KwaZulu-Natal province of South Africa, are largely in decline. Trophy hunting of wild Nile crocodiles is only permitted at Pongolapoort Dam in the province, and monitoring of this population is required to enable the setting of annual hunting quotas. The aims of this study were to determine the feasibility of using drones to count and measure Nile crocodiles in the inlet to the dam and evaluate the utility of photo mosaics, individual photographs and videos for this purpose. A total of 16.5 km of shoreline was surveyed and 183 sub-adult and adult crocodiles observed, averaging 10.74 crocodiles per kilometer. The use of drones was cost-effective compared to traditional survey methods even though a higher number of person hours were required for data collection and processing. We recommend that drones be used to acquire video footage, supplemented by photo mosaics in areas where large aggregations of crocodiles occur, to regularly monitor this crocodile population.","PeriodicalId":478892,"journal":{"name":"Drone Systems and Applications","volume":"36 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140244801","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}
Morgan Hrynyk, Amir Behnamian, Sarah N. Banks, Zhaohua Chen, Taylor Harmer, Patrick Kirby, Lori White, J. Pasher, J. Duffe
{"title":"Seasonal Phragmites australis classification in Long Point National Wildlife Area wetlands using a remotely piloted aircraft system and random forest machine learning","authors":"Morgan Hrynyk, Amir Behnamian, Sarah N. Banks, Zhaohua Chen, Taylor Harmer, Patrick Kirby, Lori White, J. Pasher, J. Duffe","doi":"10.1139/dsa-2023-0082","DOIUrl":"https://doi.org/10.1139/dsa-2023-0082","url":null,"abstract":"This study produced a high-accuracy remotely piloted aircraft system (RPAS) imagery classification method for identifying the invasive reed Phragmites australis (Cav.) Trin. Ex Steud subsp. australis using Random Forest (RF) machine learning. RPAS imagery was collected in the spring and fall of 2019 using a fixed-wing RPAS equipped with a visible spectrum camera (eBee X, S.O.D.A. 3D; senseFly) in Long Point, Ontario, Canada. Imagery was used to produce separate early and late season classifications and a bi-temporal classification which used imagery from both dates. The overall accuracy achieved for each was; 97, 96, and 91%; respectively. Digital surface models (DSMs) were the most important variable for identifying Phragmites in all classifications due to their greater height when compared to surrounding herbaceous vegetation. The bi-temporal classification, which utilized change in DSM value during the growing season, resulted in an estimated 47.8% new growth of Phragmites and appeared to capture sparse growth better than traditional classification differencing alone. This study highlights the promising use of high-resolution DSMs produced from RPAS imagery to classify invasive Phragmites and monitor within-year patch expansions.","PeriodicalId":478892,"journal":{"name":"Drone Systems and Applications","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140245602","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":"Malicious UAV detection using various modalities","authors":"Safaa Dafrallah, M. Akhloufi","doi":"10.1139/dsa-2023-0049","DOIUrl":"https://doi.org/10.1139/dsa-2023-0049","url":null,"abstract":"Unmanned Aerial Vehicles, also known as drones, have seen increasing interest in recent years. This surge of interest is based on technological advancements, enhanced performance, affordability, and their large array of applications. Despite their utility in various applications, drones could also be used for malicious intent. The increasing concern regarding malicious drones triggers the use of various technologies and countermeasures, including drone detection and counter-drone systems. In this paper, we raise concerns about the malicious use of drone systems by providing a brief description of the major security threats. We also present the architecture of Unmanned Aerial Systems, drone types and their communication methods. We provide an in-depth overview of various drone detection techniques including vision-based, radio-frequency-based, and audio-based techniques, and discuss recent studies that address this issue using machine learning and deep learning models. We highlight the importance of using a hybrid approach for more accurate results.","PeriodicalId":478892,"journal":{"name":"Drone Systems and Applications","volume":"36 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140251033","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":"Review of autonomous outdoor blimps and their applications","authors":"S. Bhat, S. Anavatti, Matt Garratt, Sridhar Ravi","doi":"10.1139/dsa-2023-0052","DOIUrl":"https://doi.org/10.1139/dsa-2023-0052","url":null,"abstract":"Autonomous blimps have potential applications in surveillance, monitoring, and advertising. Due to their lower payload capacities and possible unstable flight profile, small blimps have been mostly used in indoor applications. However, recent advancements in their design and control have increased the prospects of deploying them for outdoor applications. This study presents a literature review of various aspects that encompass the unique elements of blimps' design and operations followed by a discussion on the modern applications. The review focuses on advancements made in the fundamental attributes of blimps, including design, propulsion, navigation, and control. The review reveals that recent successes in using blimps for various missions, where heavier-than-air platforms have been usually used, highlight the potential for blimps to offer a lightweight and low-risk alternative. The relatively stable operation of blimps in low winds and longer-duration hovering capability can make them a preferred platform for rescue, source localization, and space applications. However, their stability in extreme environments is a challenge, in addition to their lower mobility and problems in accurately predicting control parameters. Thus, this review concludes with an overview of blimps' futuristic applications of miniature blimps and recommendations to address the challenges in using them in real-world missions.","PeriodicalId":478892,"journal":{"name":"Drone Systems and Applications","volume":"137 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140078203","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":"Czech Society and drones: Experience, norms, and concerns","authors":"Sarah Komasová","doi":"10.1139/dsa-2023-0065","DOIUrl":"https://doi.org/10.1139/dsa-2023-0065","url":null,"abstract":"Understanding societal acceptance of drones is key to their operational incorporation into airspace. For this reason, this study measures experience, norms, and concerns related to drone operation on a quota-representative sample of the Czech public and provides an overview of the situation. The findings show that a majority of Czechs already have some level of personal experience with drones and that Czechs are quite confident about the high quality of the performance of drones regarding manoeuvrability, video recording, and low noise levels. Despite these feelings, more legislative regulations and their stronger enforcement are favoured by the majority of Czechs. Public acceptance of a particular type of flight operation is highly dependent on the institutional background of the operators. The operation of drones by police and firefighters is supported at a significantly higher level. Finally, it is shown that privacy is the driving concern when compared to safety or noise in the Czech Republic. Given this, it seems reasonable to focus further communication with the public on these issues, particularly on the introduction of technological capabilities, the societal effects of drone operation, and the current legislative framework related to privacy rights and new technologies rather than on promoting drone operational safety.","PeriodicalId":478892,"journal":{"name":"Drone Systems and Applications","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139388788","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}
Teresa de Jesus Krings, Jeremy Laliberte, Iryna Borshchova, David Kristopher Ellis
{"title":"Development of methods for statistical modeling of air traffic demonstrated through a Winnipeg-area case study","authors":"Teresa de Jesus Krings, Jeremy Laliberte, Iryna Borshchova, David Kristopher Ellis","doi":"10.1139/dsa-2023-0015","DOIUrl":"https://doi.org/10.1139/dsa-2023-0015","url":null,"abstract":"The integration of remotely piloted aircraft systems (RPAS) into shared airspace requires a thorough risk analysis. Specific operations risk assessment (SORA) is a widely adopted approach by international civil aviation authorities to guide RPAS operators in evaluating risks associated with their mission. A critical step in the SORA process is analyzing the airspace where the operation will take place, which requires knowledge of the intruder aircraft's flight characteristics as well as the airspace model. This paper proposes a methodology for developing a statistical airspace model using historical aircraft track data collected in the Winnipeg Manitoba Flight Information Region. The developed methods include data cleaning routines, Kalman filters for track smoothing, and Bayesian networks for synthetic track generation, following an approach similar to that employed by the Massachusetts Institute of Technology Lincoln Lab. Additionally, the developed methodology allows for the analysis of specific models by altitude or aircraft type. The methods presented were subsequently adjusted for a comprehensive analysis spanning across Canada's diverse airspace. The initial statistical model, derived from Canada-wide data, is currently accessible to the public via the National Research Council's GitHub repository [ https://github.com/nrc-cnrc/Canadian-Airspace-Models ].","PeriodicalId":478892,"journal":{"name":"Drone Systems and Applications","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135556934","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}