Journal of Unmanned Vehicle Systems最新文献_第5页

The effect of political affiliation on support for police drone monitoring in the United States 政治派别对支持美国警方无人机监控的影响

IF 2.3

Journal of Unmanned Vehicle Systems Pub Date : 2019-01-30 DOI: 10.1139/JUVS-2018-0026

Mattie N. Milner, S. Rice, S. Winter, Emily C. Anania

引用次数: 2

A low-altitude unmanned aerial vehicle (UAV) created using 3D-printed bioplastic 使用3D打印生物塑料制造的低空无人机

IF 2.3

Journal of Unmanned Vehicle Systems Pub Date : 2019-01-18 DOI: 10.1139/JUVS-2017-0023

J. Coe, C. Dunbar, Keunta Epps, Joseph Hagensee, A. Moore

{"title":"A low-altitude unmanned aerial vehicle (UAV) created using 3D-printed bioplastic","authors":"J. Coe, C. Dunbar, Keunta Epps, Joseph Hagensee, A. Moore","doi":"10.1139/JUVS-2017-0023","DOIUrl":"https://doi.org/10.1139/JUVS-2017-0023","url":null,"abstract":"In this work, a four-person student team was given the challenge of designing, analysing, constructing, and testing a low-altitude unmanned aerial vehicle (UAV) prototype, which could meet or exceed a set of predefined performance requirements including range, altitude, time of flight, and load-carrying capability. In addition, the team was tasked with having their final design be composed of at least 70% sustainable material by volume. The final prototype took the form of a quadcopter with an airframe 3D printed from a plant-based bioplastic. This prototype was able to meet or exceed three of the four project performance targets, with time of flight being the lone failure. Besides serving as a proof-of-concept prototype of a functioning bioplastic-based UAV, this project is also a demonstration of 3D printing as an enabling technology that can allow even small design teams to realize complex geometries, enjoy enhanced design flexibility, and achieve high levels of UAV functionality with relatively limited resources. Finally, a discussion of important material parameters of 3D printed UAVs is presented.","PeriodicalId":45619,"journal":{"name":"Journal of Unmanned Vehicle Systems","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2019-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1139/JUVS-2017-0023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45942030","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}

引用次数: 0

Do Americans differ in their willingness to ride in a driverless bus? 美国人乘坐无人驾驶公交车的意愿有什么不同吗?

IF 2.3

Journal of Unmanned Vehicle Systems Pub Date : 2018-11-20 DOI: 10.1139/JUVS-2018-0020

S. Winter, S. Rice, Rian Mehta, Nathan W. Walters, Matthew Pierce, Emily C. Anania, Mattie N. Milner, N. Rao

引用次数: 14

Magnetic surveying with an unmanned ground vehicle 用无人地面车辆进行磁力测量

IF 2.3

Journal of Unmanned Vehicle Systems Pub Date : 2018-09-22 DOI: 10.1139/JUVS-2018-0013

A. Hay, C. Samson, L. Tuck, A. Ellery

引用次数: 2

Measuring low-altitude wind gusts using the unmanned aerial vehicle GustAV 使用无人驾驶飞行器GustAV测量低空阵风

IF 2.3

Journal of Unmanned Vehicle Systems Pub Date : 2018-09-20 DOI: 10.1139/JUVS-2017-0029

Alton Yeung, Goetz Bramesfeld, Joon Chung, S. Foster

引用次数: 6

UAV–LiDAR accuracy in vegetated terrain 无人机-激光雷达在植被地形中的精度

IF 2.3

Journal of Unmanned Vehicle Systems Pub Date : 2018-08-03 DOI: 10.1139/JUVS-2017-0030

Maja Kucharczyk, C. Hugenholtz, Xueyang Zou

{"title":"UAV–LiDAR accuracy in vegetated terrain","authors":"Maja Kucharczyk, C. Hugenholtz, Xueyang Zou","doi":"10.1139/JUVS-2017-0030","DOIUrl":"https://doi.org/10.1139/JUVS-2017-0030","url":null,"abstract":"We examined the horizontal and vertical accuracy of LiDAR data acquired from an unmanned aerial vehicle (UAV) at a field site with six vegetation types: coniferous trees, deciduous trees, short grass (0–0.3 m height), tall grass (>0.3 m height), short shrubs (0–1 m height), and tall shrubs (>1 m height). The objective was to assess positional accuracy of the ground surface in the context of digital mapping standards, and to determine how different vegetation types affect vertical accuracy. The data were acquired from a single-rotor vertical takeoff and landing UAV equipped with a Riegl VUX-1UAV laser scanner, KVH Industries 1750 IMU, and dual NovAtel GNSS receivers. Reference measurements of ground surface elevation were acquired with conventional field surveying techniques. Accuracy was evaluated using methods in the 2015 American Society for Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data. Results show that horizontal accuracy and vegetated vertical accuracy at the 95% confidence level were 0.05 and 0.24 m, respectively. Median vertical errors significantly differed among 10 of 15 vegetation type pairs, highlighting the need to account for variations of vegetation structure. According to the 2015 ASPRS standards, the reported errors fulfill the requirements for mapping at the 2 and 8 cm horizontal and vertical class levels, respectively.","PeriodicalId":45619,"journal":{"name":"Journal of Unmanned Vehicle Systems","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2018-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1139/JUVS-2017-0030","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46923029","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}

引用次数: 7

Pixel- and object-based multispectral classification of forest tree species from small unmanned aerial vehicles 基于像素和对象的小型无人机森林树种多光谱分类

IF 2.3

Journal of Unmanned Vehicle Systems Pub Date : 2018-07-30 DOI: 10.1139/JUVS-2017-0022

S. Franklin

{"title":"Pixel- and object-based multispectral classification of forest tree species from small unmanned aerial vehicles","authors":"S. Franklin","doi":"10.1139/JUVS-2017-0022","DOIUrl":"https://doi.org/10.1139/JUVS-2017-0022","url":null,"abstract":"Forest inventory, monitoring, and assessment requires accurate tree species identification and mapping. Recent experiences with multispectral data from small fixed-wing and rotary blade unmanned aerial vehicles (UAVs) suggest a role for this technology in the emerging paradigm of enhanced forest inventory (EFI). In this paper, pixel-based and object-based image analysis (OBIA) methods were compared in UAV-based tree species classification of nine commercial tree species in mature eastern Ontario mixedwood forests. Unsupervised clustering and supervised classification of tree crown pixels yielded approximately 50%–60% classification accuracy overall; OBIA with image segmentation to delineate tree crowns and machine learning yielded up to 80% classification accuracy overall. Spectral response patterns and tree crown shape and geometric differences were interpreted in context of their ability to separate tree species of interest with these classification methods. Accuracy assessment was based on field-based forest inventory tree species identification. The paper provides a brief summary of future research issues that will influence the growth of this geomatics innovation in forest tree species classification and forest inventory.","PeriodicalId":45619,"journal":{"name":"Journal of Unmanned Vehicle Systems","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2018-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1139/JUVS-2017-0022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44771826","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}

引用次数: 31

Magnetic interference testing method for an electric fixed-wing unmanned aircraft system (UAS) 电动固定翼无人飞行器系统（UAS）的磁干扰测试方法

IF 2.3

Journal of Unmanned Vehicle Systems Pub Date : 2018-07-30 DOI: 10.1139/JUVS-2018-0006

L. Tuck, C. Samson, J. Laliberté, M. Wells, F. Belanger

{"title":"Magnetic interference testing method for an electric fixed-wing unmanned aircraft system (UAS)","authors":"L. Tuck, C. Samson, J. Laliberté, M. Wells, F. Belanger","doi":"10.1139/JUVS-2018-0006","DOIUrl":"https://doi.org/10.1139/JUVS-2018-0006","url":null,"abstract":"One of the barriers preventing unmanned aircraft systems (UASs) from having a larger presence in the geophysical magnetic surveying industry is the magnetic interference generated by the UAS and its impact on the quality of the recorded data. Detailed characterization of interference effects is therefore needed before remedial solutions can be proposed. A method for characterizing magnetic interference is demonstrated for a 21 kg, 3.7 m wingspan, 6 kW electric fixed-wing UAS purposely built for magnetic surveying. It involves mapping the spatial variations of the total magnetic intensity resulting from the interference sources on the UAS. Dynamic tests showed that the motor should be engaged and the aircraft control surfaces levelled prior to mapping. Experimental results reveal that the two strongest sources of magnetic interference are the cables connecting the motor to the batteries, and the servos. Combining three factors to assess the level of magnetic interference — the total magnetic intensity, 4th difference and vertical magnetic gradient — an index overlay shows that the magnetic sensor(s) should be located at least 50 cm away from the wingtips or tail to ensure an interference level of <2 nT, a 4th difference of <0.05 nT, and a gradient of <10 nT/m.","PeriodicalId":45619,"journal":{"name":"Journal of Unmanned Vehicle Systems","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2018-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1139/JUVS-2018-0006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46041467","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}

引用次数: 21

A method for UAV multi-sensor fusion 3D-localization under degraded or denied GPS situation 一种GPS退化或拒绝情况下无人机多传感器融合三维定位方法

IF 2.3

Journal of Unmanned Vehicle Systems Pub Date : 2018-07-12 DOI: 10.1139/JUVS-2018-0007

Thanabadee Bulunseechart, P. Smithmaitrie

{"title":"A method for UAV multi-sensor fusion 3D-localization under degraded or denied GPS situation","authors":"Thanabadee Bulunseechart, P. Smithmaitrie","doi":"10.1139/JUVS-2018-0007","DOIUrl":"https://doi.org/10.1139/JUVS-2018-0007","url":null,"abstract":"Unmanned aerial vehicles (UAVs) have been developed to be used in complex environments. Continuity of a UAV operation when GPS is degraded or denied is crucial in many applications, such as flying near high buildings and trees, or flying outdoor-to-indoor. In this paper, an algorithm for 3D-localization during transition between indoor and outdoor environments for a UAV is presented. Localization inputs are based on information from GPS, inertial measurement unit, monocular camera, and optical flow sensor. Information is carefully selected using GPS quality indicator method corresponding to the operating environment. After that, a smoothing offset approach is employed to smooth the position estimation. The selected sensors’ data are filtered by indirect extended Kalman filter for localization and extrinsic sensor calibration in real time. Results show a seamless offset convergence of UAV localization for indoor–outdoor transition. Moreover, the proposed method of decision-making to cut off GPS measurement even when it experiences poor signal quality can still outperform conventional GPS-based cutoff method in terms of response time.","PeriodicalId":45619,"journal":{"name":"Journal of Unmanned Vehicle Systems","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2018-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1139/JUVS-2018-0007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44566889","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}

引用次数: 3

Performance of manned and unmanned aerial surveys to collect visual data and imagery for estimating arctic cetacean density and associated uncertainty 为估计北极鲸目动物密度和相关不确定性而收集视觉数据和图像的载人和无人航空调查的性能

IF 2.3

Journal of Unmanned Vehicle Systems Pub Date : 2018-05-07 DOI: 10.1139/JUVS-2018-0002

M. Ferguson, R. Angliss, Amy Kennedy, B. Lynch, A. Willoughby, V. Helker, A. Brower, J. Clarke

{"title":"Performance of manned and unmanned aerial surveys to collect visual data and imagery for estimating arctic cetacean density and associated uncertainty","authors":"M. Ferguson, R. Angliss, Amy Kennedy, B. Lynch, A. Willoughby, V. Helker, A. Brower, J. Clarke","doi":"10.1139/JUVS-2018-0002","DOIUrl":"https://doi.org/10.1139/JUVS-2018-0002","url":null,"abstract":"Manned aerial surveys have been used successfully for decades to collect data to infer cetacean distribution, density (number of whales/km2), and abundance. Unmanned aircraft systems (UAS) have potential to augment or replace some manned aerial surveys for cetaceans. We conducted a three-way comparison among visual observations made by marine mammal observers aboard a Turbo Commander aircraft; imagery autonomously collected by a Nikon D810 camera system mounted to a belly port on the Turbo Commander; and imagery collected by a similar camera system on a remotely controlled ScanEagle® UAS operated by the US Navy. Bowhead whale density estimates derived from the marine mammal observer data were higher than those from the Turbo Commander imagery; comparisons to the UAS imagery depended on survey sector and analytical method. Beluga density estimates derived from either dataset collected aboard the Turbo Commander were higher than estimates derived from the UAS imagery. Uncertainties in density estimates derived from the marine mammal observer data were lower than estimates derived from either imagery dataset due to the small sample sizes in the imagery. The visual line-transect aerial survey conducted by marine mammal observers aboard the Turbo Commander was 68.5% of the cost of the photo strip-transect survey aboard the same aircraft and 9.4% of the cost of the UAS survey.","PeriodicalId":45619,"journal":{"name":"Journal of Unmanned Vehicle Systems","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2018-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1139/JUVS-2018-0002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47682806","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}

引用次数: 27