Improved Architecture Designs for a Low Cost Personal Remote Sensing Platform: Flight Control and Safety

2011 ◽  
Author(s):  
Calvin Coopmans ◽  
Long Di ◽  
Austin Jensen ◽  
Aaron A. Dennis ◽  
YangQuan Chen
Keyword(s):  
Remote Sensing ◽  
Flight Control ◽  
Large Scale ◽  
Current System ◽  
Low Cost ◽  
Flight Test ◽  
Unmanned Aircraft ◽  
Personal Remote Sensing ◽  
Sensing Platform ◽  
Fail Safe

Remote sensing is a field traditionally dominated by expensive, large-scale operations. This paper presents our efforts to improve our unmanned aircraft (UA) platforms for low-cost personal remote sensing purposes. Safety concerns are first emphasized regarding the local airspace and multiple fail-safe features are shown in the current system. Then the AggieAir unmanned system architecture is briefly described including the Paparazzi UA autopilot, AggieAir JAUS implementation, AggieNav navigation unit and payload integration. Some preliminary flight test results and images acquired using an example thermal IR payload system are also shown. Finally Multi-UAV and heterogeneous platform capabilities are discussed with respect to their applications. Based on our approaches on the new architecture design, personal remote sensing on smaller-scale operations can be more beneficial and common.

scholarly journals Ionospheric Polarization Techniques for Robust NVIS Remote Sensing Platforms

2020 ◽  
Vol 10 (11) ◽  
pp. 3730 ◽  
Author(s):  
Josep M. Maso ◽  
Jordi Male ◽  
Joaquim Porte ◽  
Joan L. Pijoan ◽  
David Badia
Keyword(s):  
Remote Sensing ◽  
Power Transmission ◽  
Low Cost ◽  
Density Ratio ◽  
Satellite Communications ◽  
Selection Combining ◽  
Noise Spectral Density ◽  
Diversity Techniques ◽  
Sensing Platform ◽  
Sensing Platforms

Every year more interest is focused on high frequencies (HF) communications for remote sensing platforms due to their capacity to establish links of more than 250 km without a line of sight and due to them being a low-cost alternative to satellite communications. In this article, we study the ionospheric ordinary and extraordinary waves to improve the applications of near vertical incidence skywave (NVIS) on a single input multiple output (SIMO) configuration. To obtain the results, we established a link of 95 km to test the diversity combining of ordinary and extraordinary waves by using selection combining (SC) and equal-gain combining (EGC) on a remote sensing platform. The testbench is based on digital modulation transmissions with power transmission between 3 and 100 W. The results show us the main energy per bit to noise spectral density ratio (Eb/N0) and the bit error rate (BER) differences between ordinary and extraordinary waves, SC, and EGC. To conclude, diversity techniques show us a decrease of the power transmission need, allowing for the use of compact antennas and increasing battery autonomy. Furthermore, we present three different improvement options for NVIS SIMO remote sensing platforms depending on the requirements of bitrate, power consumption, and efficiency of communication.

scholarly journals Visual Attitude Estimation for Low-Cost Personal Remote Sensing Systems

2011 ◽  
Author(s):  
Tobias Fromm ◽  
Long Di ◽  
YangQuan Chen ◽  
Holger Voos
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicles ◽  
Fault Tolerant ◽  
Low Cost ◽  
Sufficient Accuracy ◽  
Sensing Systems ◽  
Personal Remote Sensing ◽  
Remote Sensing Systems ◽  
And Performance ◽  
The Moment

Remote Sensing using unmanned aerial vehicles (UAV) is gathering a lot of attention at the moment by researchers and developers, especially in terms of low-cost aircrafts which still maintain sufficient accuracy and performance. This paper introduces a low-cost approach to increase airworthiness by using a forward-looking camera to estimate the attitude of a UAV. It not only focuses on using machine learning to classify ground and sky, but also uses image processing and software engineering methods to make it fault-tolerant and really applicable on a miniature UAV. Additionally, it is able to interface with an autopilot framework to being used productively on flight missions.

scholarly journals Emergency Response Using Volunteered Passenger Aircraft Remote Sensing Data: A Case Study on Flood Damage Mapping

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4163 ◽  
Author(s):  
Chisheng Wang ◽  
Junzhuo Ke ◽  
Wenqun Xiu ◽  
Kai Ye ◽  
Qingquan Li
Keyword(s):  
Remote Sensing ◽  
Emergency Response ◽  
Low Cost ◽  
Remote Sensing Data ◽  
Flood Damage ◽  
Sensing Data ◽  
Sensing Platform ◽  
Damage Mapping ◽  
Passenger Aircraft

Current satellite remote sensing data still have some inevitable defects, such as a low observing frequency, high cost and dense cloud cover, which limit the rapid response to ground changes and many potential applications. However, passenger aircraft may be an alternative remote sensing platform in emergency response due to the high revisit rate, dense coverage and low cost. This paper introduces a volunteered passenger aircraft remote sensing method (VPARS) for emergency response. It uses the images captured by the passenger volunteers during flight. Based on computer vision algorithms and geocoding procedures, these images can be processed into a mosaic orthoimage for rapid ground disaster mapping. Notable, due to the relatively low flight latitude, small clouds can be easily removed by stacking multi-angle tilt images in the VPARS method. A case study on the 2019 Guangdong flood monitoring validates these advantages. The frequent aircraft revisit time, intensive flight coverage, multi-angle images and low cost of the VPARS make it a potential way to complement traditional remote sensing methods in emergency response.

Low-cost and high sensitivity glucose sandwich detection using a plasmonic nanodisk metasurface

Nanoscale ◽  
2020 ◽  
Vol 12 (19) ◽  
pp. 10809-10815 ◽  
Author(s):  
Zhongwen Long ◽  
Yuzhang Liang ◽  
Lei Feng ◽  
Hui Zhang ◽  
Mingze Liu ◽  
...  
Keyword(s):  
Large Scale ◽  
Low Cost ◽  
High Sensitivity ◽  
Glucose Detection ◽  
Sensing Platform ◽  
Highly Sensitive

A low-cost, large scale plasmonic metasurface sensing platform shows enormous potential for highly sensitive and selective SERS-based glucose detection.

scholarly journals Performance of Hyperspectral Imaging with Drone Swarms

2018 ◽  
Vol 2672 (45) ◽  
pp. 36-44
Author(s):  
Raj Bridgelall ◽  
James B. Rafert ◽  
Denver D. Tolliver
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Imaging ◽  
Spatial Resolution ◽  
Low Cost ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft Systems ◽  
Aircraft Systems ◽  
Sensing Platforms ◽  
Spatial Coverage ◽  
Ground Coverage

The ongoing proliferation and diversification of remote sensing platforms offer greater flexibility to select from a range of hyperspectral imagers as payloads. The emergence of low-cost unmanned aircraft systems (drones) and their launch flexibility present an opportunity to maximize spectral resolution while scaling both daily spatial coverage and spatial resolution simultaneously by operating synchronized swarms. This article presents a model to compare the performance of hyperspectral-imaging platforms in their spatial coverage and spatial resolution envelope. The authors develop a data acquisition framework and use the model to compare the achievable performance among existing airborne and spaceborne hyperspectral imaging vehicles and drone swarms. The results show that, subject to cost and operational limitations, a platform implemented with drone swarms has the potential to provide greater spatial resolution for the same daily ground coverage compared with existing airborne platforms.

Study on blimp-based low-cost remote sensing platform

2008 ◽  
Author(s):  
Wuming Zhang ◽  
Xinping Guo ◽  
Guoqing Zhou ◽  
Guangjian Yan
Keyword(s):  
Remote Sensing ◽  
Low Cost ◽  
Sensing Platform
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