scholarly journals Autonomous Vehicles and Unmanned Aerial Systems: Data Collection and Liability [Leading Edge]

2019 ◽  
Vol 38 (3) ◽  
pp. 14-16 ◽  
Author(s):  
Gregory Rodriguez
Keyword(s):  
Data Collection ◽  
Autonomous Vehicles ◽  
Leading Edge ◽  
Unmanned Aerial Systems ◽  
Aerial Systems

Joint Chilean and US mobility testing in extreme environments

2021 ◽  
Author(s):  
Michael Parker ◽  
Alex Stott ◽  
Brian Quinn ◽  
Bruce Elder ◽  
Tate Meehan ◽  
...  
Keyword(s):  
Autonomous Vehicles ◽  
Extreme Environments ◽  
Sensor Data ◽  
Unmanned Aerial Systems ◽  
Area Network ◽  
The Us ◽  
Vehicle Mobility ◽  
Data Collections ◽  
Aerial Systems ◽  
Vehicle Sensor

Vehicle mobility in cold and challenging terrains is of interest to both the US and Chilean Armies. Mobility in winter conditions is highly vehicle dependent with autonomous vehicles experiencing additional challenges over manned vehicles. They lack the ability to make informed decisions based on what they are “seeing” and instead need to rely on input from sensors on the vehicle, or from Unmanned Aerial Systems (UAS) or satellite data collections. This work focuses on onboard vehicle Controller Area Network (CAN) Bus sensors, driver input sensors, and some externally mounted sensors to assist with terrain identification and overall vehicle mobility. Analysis of winter vehicle/sensor data collected in collaboration with the Chilean Army in Lonquimay, Chile during July and August 2019 will be discussed in this report.

USDA forest service–NASA: unmanned aerial systems demonstrations – pushing the leading edge in fire mapping

2011 ◽  
Vol 26 (2) ◽  
pp. 103-111 ◽  
Author(s):  
Everett Alan Hinkley ◽  
Thomas Zajkowski
Keyword(s):  
Leading Edge ◽  
Forest Service ◽  
Unmanned Aerial Systems ◽  
Usda Forest Service ◽  
In Fire ◽  
Aerial Systems

Application of Postprocessing Kinematic Methods with UAS Remote Sensing in Forest Ecosystems

2021 ◽  
Author(s):  
Zachary M Miller ◽  
Joseph Hupy ◽  
Aishwarya Chandrasekaran ◽  
Guofan Shao ◽  
Songlin Fei
Keyword(s):  
Remote Sensing ◽  
Data Collection ◽  
Ground Control ◽  
Unmanned Aerial Systems ◽  
Control Points ◽  
Gps Technology ◽  
Ground Control Points ◽  
Forested Areas ◽  
Rapid Deployment ◽  
Aerial Systems

Abstract Unmanned Aerial Systems (UAS) serve as an excellent remote-sensing platform to fulfill an aerial imagery data collection niche previously unattainable in forestry by satellites and manned aircraft. However, for UAS-derived data to be spatially representative, a precise network of ground control points (GCP) is often required, which can be tedious and limit the logistical benefits of UAS rapid deployment capabilities, especially in densely forested areas. Therefore, methods for efficient data collection without GCPs are highly desired in UAS remote sensing. Here, we demonstrate the use of postprocessing kinematic (PPK) technology to obtain subcentimeter precision in datasets of forested areas without the need for placing GCPs. We evaluated two key measures, positional variability and time efficiency, of the PPK technology by comparing them to traditional GCP methods. Results show that PPK displays consistently higher positional precision than traditional GCP approaches. Moreover, PPK surveys and processing take less time to complete than traditional GCP methods and require fewer logistical steps, especially in image acquisition. The time and resource savings with PPK as compared to GCP processing are undeniable. We conclude that PPK technology provides a practical means to produce precise aerial forest surveys. Study Implications Unmanned Aerial Systems (UAS) have enormous potential for lowering costs and streamlining practices in the forestry management and research community. Despite this potential, however, UAS forestry applications have been limited in scope and precision because of a reliance on using ground-based GPS technology to survey ground control points (GCP), which are time intensive and require an open view of the sky. Such a need for a ground-based GCP survey, along with forest canopy serving to limit and scatter incoming GPS signals, diminishes the potential for rapid deployment and precision mapping offered by UAS. Fortunately, Postprocessing-Kinematic (PPK) GPS technology lowers these barriers by providing the means to seamlessly gather highly precise UAS imagery without needing to conduct time-intensive ground-based surveys. This study compares the precision and time-effectiveness between traditional GCP marker surveys and PPK correction methods.

scholarly journals Issues in Unmanned Aerial Systems (UAS) Data Collection of Complex Forest Environments

2018 ◽  
Vol 10 (6) ◽  
pp. 908 ◽  
Author(s):  
Benjamin Fraser ◽  
Russell Congalton
Keyword(s):  
Data Collection ◽  
Unmanned Aerial Systems ◽  
Aerial Systems

scholarly journals Assemblage of the vertical: commercial drones and algorithmic life

2016 ◽  
Vol 71 (2) ◽  
pp. 137-146 ◽  
Author(s):  
Jeremy W. Crampton
Keyword(s):  
Data Collection ◽  
Unmanned Aerial Vehicles ◽  
Technological Development ◽  
Unmanned Aerial Systems ◽  
Aerial Vehicles ◽  
Remotely Piloted Aircraft ◽  
Aerial Systems

Abstract. This paper takes up the increasingly popular topic of drones – including unmanned aerial vehicles (UAVs), small unmanned aerial systems (sUAS), remotely piloted aircraft (RPA), and a vast panoply of commercial drones and copters – to argue that our analysis should lie not so much on drones as objects, but as assemblages of the vertical. Drones, I argue, constitute a socio-technical assemblage of the sky and vertical space, which means that our focus should be not (only) on their technological development and capacities but also on their effects and affects. The latter of these include increasing algorithmic data collection and circulation that follow anticipatory logics.

scholarly journals Current Practices in UAS-based Environmental Monitoring

2020 ◽  
Vol 12 (6) ◽  
pp. 1001 ◽  
Author(s):  
Goran Tmušić ◽  
Salvatore Manfreda ◽  
Helge Aasen ◽  
Mike R. James ◽  
Gil Gonçalves ◽  
...  
Keyword(s):  
Data Collection ◽  
Best Practices ◽  
Product Development ◽  
Environmental Monitoring ◽  
Environmental Conditions ◽  
Best Practice ◽  
Unmanned Aerial Systems ◽  
The Many ◽  
Aerial Systems ◽  
Operational Guidance

With the increasing role that unmanned aerial systems (UAS) are playing in data collection for environmental studies, two key challenges relate to harmonizing and providing standardized guidance for data collection, and also establishing protocols that are applicable across a broad range of environments and conditions. In this context, a network of scientists are cooperating within the framework of the Harmonious Project to develop and promote harmonized mapping strategies and disseminate operational guidance to ensure best practice for data collection and interpretation. The culmination of these efforts is summarized in the present manuscript. Through this synthesis study, we identify the many interdependencies of each step in the collection and processing chain, and outline approaches to formalize and ensure a successful workflow and product development. Given the number of environmental conditions, constraints, and variables that could possibly be explored from UAS platforms, it is impractical to provide protocols that can be applied universally under all scenarios. However, it is possible to collate and systematically order the fragmented knowledge on UAS collection and analysis to identify the best practices that can best ensure the streamlined and rigorous development of scientific products.

scholarly journals Usability Test of a Prototype Uas Awareness Interface for Public Users

2019 ◽  
Vol 63 (1) ◽  
pp. 101-105
Author(s):  
Lynne Martin ◽  
Kimberly Jobe ◽  
Faisal Omar ◽  
Cesar Ramirez ◽  
Jeffrey Homola
Keyword(s):  
Data Collection ◽  
Traffic Management ◽  
Unmanned Aerial Systems ◽  
Unmanned Aerial System ◽  
Data Collection Tool ◽  
Task Set ◽  
The Public ◽  
Usability Test ◽  
Aerial Systems ◽  
Existing Data

A tool to give the public a window into Unmanned Aerial Systems (UAS) Traffic Management (UTM) operations was created from an existing data collection tool. The interface included a map and a table showing details about UAS operations that could be queried in a number of ways. Eleven participants attended the study, successfully completing a 19-item task set in about 30 minutes. They correctly found information for 87% of the non-subjective tasks at a rate of around a minute per task and rated the usability of the tool at the end of the session above the industry benchmark. Participants gave favorable reviews of the “public portal tool”, even reporting that they would be satisfied with less information than it presented. There were one or two elements of the display that users found distracting and some navigation functions that need improvement but, on balance, the public representatives liked the features they saw in, and had few criticisms of, the public portal tool. One important issue for the small Unmanned Aerial System community to resolve will be how much or how little information should be available about UTM operations to members of the public.

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