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B. P. Hudzietz, S. Saripalli
2012 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
We demonstrate a method for unmanned aerial vehicle based structure from motion mapping and show it to be a viable option for large scale, high resolution terrain modeling.  ...  We present a method for integrating low cost cameras and unmanned aerial vehicles for the purpose of 3D terrain mapping.  ...  ACKNOWLEDGEMENTS We would like to thank Phoenix Rock Gym for allowing us the generous use of their facilities.  ... 
doi:10.5194/isprsarchives-xxxviii-1-c22-137-2011 fatcat:ovmm7aocmvdvtoe2mr5hgbykea

High Throughput Field Phenotyping of Wheat Plant Height and Growth Rate in Field Plot Trials Using UAV Based Remote Sensing

Fenner Holman, Andrew Riche, Adam Michalski, March Castle, Martin Wooster, Malcolm Hawkesford
2016 Remote Sensing  
This study proves UAV based SfM has the potential to become a new standard for high-throughput phenotyping of in-field crop heights.  ...  The most accurate UAV-derived surface model and the TLS both achieve a Root Mean Squared Error (RMSE) of 0.03 m compared to the existing manual 2 m rule method.  ...  Wooster is supported by the National Centre for Earth Observation (NCEO). A particular thanks goes to Nathan Wooster for assistance in collecting UAV data of the field for the bare ground DEM.  ... 
doi:10.3390/rs8121031 fatcat:pzgbare7lfbdlmx2n5sh7bbf7q

Coverage Path Planning for Spraying Drones [article]

E. Viridiana Vazquez-Carmona, Juan Irving Vasquez, Juan Carlos Herrera Lozada, Mayra Antonio-Cruz
2022 arXiv   pre-print
In order to contribute in this direction, this paper proposes a coverage path planning algorithm for a spraying drone, a micro aerial vehicle that has mounted a sprayer/sprinkler system, to disinfect areas  ...  In contrast with planners in the state-of-the-art, this proposal presents i) a new sprayer/sprinkler model that fits a more realistic coverage volume to the drop dispersion and ii) a planning algorithm  ...  [34] designed a system to clean windows of high-rise buildings with a UAV (Quadcopter) based on open source autopilot software and a LIDAR sensor.  ... 
arXiv:2105.08743v3 fatcat:jnndhjm6zff7fhhj4g7gcal5qy

LiDAR-Based Real-Time Detection and Modeling of Power Lines for Unmanned Aerial Vehicles

Fábio Azevedo, André Dias, José Almeida, Alexandre Oliveira, André Ferreira, Tiago Santos, Alfredo Martins, Eduardo Silva
2019 Sensors  
The PL 2 DM, Power Line LiDAR-based Detection and Modeling, is a novel approach to detect power lines.  ...  In order to overcome the limitations of visual methods in the presence of poor light and noisy backgrounds, we propose to address the problem of power line detection and modeling based on LiDAR.  ...  The data is provided by a LiDAR sensor mounted in a multirotor UAV.  ... 
doi:10.3390/s19081812 fatcat:iuxvlk7fs5feblfggsh3sdcura

Iterative construction of low-altitude UAV air route network in urban areas: Case planning and assessment

Chenchen Xu, Xiaohan Liao, Huping Ye, Huanyin Yue
2020 Journal of Geographical Sciences  
Firstly, a path-planning environment consisting of favorable spaces, obstacle spaces, and mobile communication spaces for UAV flights was pre-constructed.  ...  In this study, a low-altitude UAV air route network in an actual region was constructed using multidisciplinary approaches such as remote sensing, geographic information, aviation, and transportation;  ...  Figure 1 Ground objects distribution (a) and land use classification (b) in JJXC district Methods and implementation Based on UAV remote sensing images and LiDAR point cloud data, this paper extracts  ... 
doi:10.1007/s11442-020-1798-4 fatcat:lc7ah2mcgjcmdpfvlil4q7dhgq

Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making [article]

Rogerio Bonatti and Wenshan Wang and Cherie Ho and Aayush Ahuja and Mirko Gschwindt and Efe Camci and Erdal Kayacan and Sanjiban Choudhury and Sebastian Scherer
2019 arXiv   pre-print
In this work, we address the problem in its entirety and propose a complete system for real-time aerial cinematography that for the first time combines: (1) vision-based target estimation; (2) 3D signed-distance  ...  mapping for occlusion estimation; (3) efficient trajectory optimization for long time-horizon camera motion; and (4) learning-based artistic shot selection.  ...  Acknowledgments We thank Xiangwei Wang and Greg Armstrong for the assistance in field experiments and robot construction.  ... 
arXiv:1910.06988v1 fatcat:cpyemzfkzvbtxd3psl2c554jje

Method for Estimating Solar Energy Potential Based on Photogrammetry from Unmanned Aerial Vehicles

Jose Eduardo Fuentes, Francisco David Moya, Oscar Danilo Montoya
2020 Electronics  
This study presents a method to estimate the solar energy potential based on 3D data taken from unmanned aerial devices.  ...  Radiation potential can be estimated from photogrammetric data and a 3D model in great detail and at low cost.  ...  Acknowledgments: In this work, the information provided by the photovoltaic data collection system of Universidad Santiago de Cali was used.  ... 
doi:10.3390/electronics9122144 fatcat:ln75pp5byvat5pwj4o2el5kkl4

Sensors and Measurements for UAV Safety: An Overview

Eulalia Balestrieri, Pasquale Daponte, Luca De Vito, Francesco Picariello, Ioan Tudosa
2021 Sensors  
The paper presents a classification of UAV safety solutions that can be found in the scientific literature, putting in evidence the fundamental and critical role of sensors and measurements in the field  ...  Unmanned aerial vehicles' (UAVs) safety has gained great research interest due to the increase in the number of UAVs in circulation and their applications, which has inevitably also led to an increase  ...  These considerations were the base motivation for the research work proposed in [62] , presenting the integration of a camera sensor and LIDAR-based sensors into a safe avoidance path detection system  ... 
doi:10.3390/s21248253 pmid:34960347 pmcid:PMC8704263 fatcat:ybeophkjpfhjrn4i5nizwofjey


J. Barton, B. Gorte, M. S. R. S. Eusuf, S. Zlatanova
2020 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This paper proposes a voxel-based approach that can be used for estimating fuel load and percentage cover of the vegetation, at the elevated and near-surface fuel/vegetation layer as a method to augment  ...  We use an airborne LiDAR pointcloud dataset of Vermont Place Park, Newcastle, Australia to test the method.  ...  Gorte and Winterhalder (2004) and Thies et al (2004) reported a voxel-based approach using mathematical morphology, skeletonization, connected component labelling and shortest path computation to reconstruct  ... 
doi:10.5194/isprs-annals-vi-3-w1-2020-3-2020 fatcat:2uhp3xv5gnfj5mbpljkvi6fv3m

Final Program

2020 2020 International Conference on Unmanned Aircraft Systems (ICUAS)  
Athens is a magnificent location for such an international event like the 2020 ICUAS.  ...  I offer my best wishes for a successful and productive event, I look forward to seeing all of you in Athens, Greece, and I also look forward to continuing working with you. Kimon P.  ...  algorithm, with a k-d tree-based obstacle avoidance strategy and three-step optimization.  ... 
doi:10.1109/icuas48674.2020.9214039 fatcat:7jr6chhfija47kgtwoxqmfmmoe

Efficient Lazy Theta* Path Planning over a Sparse Grid to Explore Large 3D Volumes with a Multirotor UAV

Margarida Faria, Ricardo Marín, Marija Popović, Ivan Maza, Antidio Viguria
2019 Sensors  
Exploring large, unknown, and unstructured environments is challenging for Unmanned Aerial Vehicles (UAVs), but they are valuable tools to inspect large structures safely and efficiently.  ...  The development methodology adopted was Test-Driven Development (TDD) and the outcome was evaluated in real outdoors flights with a multirotor UAV.  ...  Acknowledgments: The authors would like to thank José Carlos Font and José Guevara from CATEC for their contribution assembling and piloting the UAV.  ... 
doi:10.3390/s19010174 fatcat:wlr4euehmzb6tmahz6e6rgbtqq

A Review of AI-enabled Routing Protocols for UAV Networks: Trends, Challenges, and Future Outlook [article]

Arnau Rovira-Sugranes, Abolfazl Razi, Fatemeh Afghah, Jacob Chakareski
2021 arXiv   pre-print
Unmanned Aerial Vehicles (UAVs), as a recently emerging technology, enabled a new breed of unprecedented applications in different domains.  ...  We conclude by presenting future trends, and the remaining challenges in AI-based UAV networking, for different aspects of routing, connectivity, topology control, security and privacy, energy efficiency  ...  This method demonstrated superior performance compared to a non-adaptive algorithm based on the precomputed shortest paths [235] .  ... 
arXiv:2104.01283v2 fatcat:p2vgtckponfm5flwz4dscf7dju

Drone-based photogrammetry for the construction of high-resolution models of individual trees

C. Lane Scher, Emily Griffoul, Charles H. Cannon
2019 Trees  
Drone-based photogrammetry offers a powerful and effective tool for capturing, analyzing, and monitoring adult trees, particularly individuals growing outside of the closed canopy forest (subsequently  ...  Key message UAV-based photogrammetry can provide detailed, accurate, and consistent structural models of opengrown trees across different species and growth forms.  ...  Funding for this research was provided by the Center for Tree Science with support from the Hamill Family Foundation.  ... 
doi:10.1007/s00468-019-01866-x fatcat:mu44scslafarpc5evllfjmduey

System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge [article]

Tomáš Rouček, Martin Pecka, Petr Čížek, Tomáš Petříček, Jan Bayer, Vojtěch Šalanský, Teymur Azayev, Daniel Heřt, Matěj Petrlík, Tomáš Báča, Vojtěch Spurný, Vít Krátký (+10 others)
2021 arXiv   pre-print
We present a field report of CTU-CRAS-NORLAB team from the Subterranean Challenge (SubT) organised by the Defense Advanced Research Projects Agency (DARPA).  ...  We present a heterogeneous exploration robotic system of the CTU-CRAS-NORLAB team, which achieved the third rank at the SubT Tunnel and Urban Circuit rounds and surpassed the performance of all other non-DARPA-funded  ...  For tracked robots and the wheeled robot, the map representation has further been extended to 3D by applying a custom speeded-up oct-tree data structure.  ... 
arXiv:2110.05911v1 fatcat:7mhkw4qv2rd4bdoavtbgvxp7ke

Fourier Dense Network to conduct plant classification using UAV-based optical images

Chih-Wei Lin, Qilu Ding, Weihao Tu, Jiahang Huang, Jinfu Liu
2019 IEEE Access  
In this paper, we proposed a novel convolutional neural network known as the Fourier Dense Network (FDN) which is a data-driven method to classify the optical aerial images of plants.  ...  To evaluate our study, we established a novel dataset comprising the UAV-based optical images of plants-vegetational optical aerial image dataset-for conducting plant classification and information retrieval  ...  Jinshi Lin from College of Resource and Environment, Fujian Agriculture and Forestry University for the assistance with the collection of the dataset.  ... 
doi:10.1109/access.2019.2895243 fatcat:kd6kdbw4iragnfak5jyx5hack4
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