Cargando…

Smelling Nano Aerial Vehicle for Gas Source Localization and Mapping

This paper describes the development and validation of the currently smallest aerial platform with olfaction capabilities. The developed Smelling Nano Aerial Vehicle (SNAV) is based on a lightweight commercial nano-quadcopter (27 g) equipped with a custom gas sensing board that can host up to two in...

Descripción completa

Detalles Bibliográficos
Autores principales:	Burgués, Javier, Hernández, Victor, Lilienthal, Achim J., Marco, Santiago
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386952/ https://www.ncbi.nlm.nih.gov/pubmed/30682827 http://dx.doi.org/10.3390/s19030478

Ejemplares similares

Mobile Robots for Localizing Gas Emission Sources on Landfill Sites: Is Bio-Inspiration the Way to Go?
por: Hernandez Bennetts, Victor, et al.
Publicado: (2012)

Combining Non Selective Gas Sensors on a Mobile Robot for Identification and Mapping of Multiple Chemical Compounds
por: Victor Hernandez, Bennetts, et al.
Publicado: (2014)

Detecting Changes of a Distant Gas Source with an Array of MOX Gas Sensors
por: Pashami, Sepideh, et al.
Publicado: (2012)

3D Gas Sensing with Multiple Nano Aerial Vehicles: Interference Analysis, Algorithms and Experimental Validation †
por: Ercolani, Chiara, et al.
Publicado: (2023)

Exploration and Gas Source Localization in Advection–Diffusion Processes with Potential-Field-Controlled Robotic Swarms †
por: Hinsen, Patrick, et al.
Publicado: (2023)

Analysis of Model Mismatch Effects for a Model-Based Gas Source Localization Strategy Incorporating Advection Knowledge
por: Wiedemann, Thomas, et al.
Publicado: (2019)

Towards Gas Discrimination and Mapping in Emergency Response Scenarios Using a Mobile Robot with an Electronic Nose
por: Fan, Han, et al.
Publicado: (2019)

Low Power Operation of Temperature-Modulated Metal Oxide Semiconductor Gas Sensors
por: Burgués, Javier, et al.
Publicado: (2018)

Spatial Quality Evaluation of Resampled Unmanned Aerial Vehicle-Imagery for Weed Mapping
por: Borra-Serrano, Irene, et al.
Publicado: (2015)

Honeycomb Map: A Bioinspired Topological Map for Indoor Search and Rescue Unmanned Aerial Vehicles
por: da Rosa, Ricardo, et al.
Publicado: (2020)

GADEN: A 3D Gas Dispersion Simulator for Mobile Robot Olfaction in Realistic Environments
por: Monroy, Javier, et al.
Publicado: (2017)

Chemical Source Localization Fusing Concentration Information in the Presence of Chemical Background Noise †
por: Pomareda, Víctor, et al.
Publicado: (2017)

Localization System for Lightweight Unmanned Aerial Vehicles in Inspection Tasks
por: Benjumea, Diego, et al.
Publicado: (2021)

Localization of Cracks in Concrete Structures Using an Unmanned Aerial Vehicle
por: Woo, Hyun-Jung, et al.
Publicado: (2022)

Handbook of unmanned aerial vehicles
por: Valavanis, Kimon, et al.
Publicado: (2015)

Guidance of Unmanned Aerial Vehicles
por: Yanushevsky, Rafael
Publicado: (2011)

Calibration of Electrochemical Sensors for Nitrogen Dioxide Gas Detection Using Unmanned Aerial Vehicles
por: Mawrence, Raphael, et al.
Publicado: (2020)

Real-Time Multi-Target Localization from Unmanned Aerial Vehicles
por: Wang, Xuan, et al.
Publicado: (2016)

Dye tracing and concentration mapping in coastal waters using unmanned aerial vehicles
por: Johansen, Kasper, et al.
Publicado: (2022)

Unmanned Aerial Vehicle to Estimate Nitrogen Status of Turfgrasses
por: Caturegli, Lisa, et al.
Publicado: (2016)

A comprehensive review of energy sources for unmanned aerial vehicles, their shortfalls and opportunities for improvements
por: Townsend, Ashleigh, et al.
Publicado: (2020)

International Symposium on Unmanned Aerial Vehicles
por: Valavanis, Kimon, et al.
Publicado: (2009)

Unmanned aerial vehicles: embedded control
por: Lozano, R
Publicado: (2010)

Autonomous Vision-Based Aerial Grasping for Rotorcraft Unmanned Aerial Vehicles
por: Lin, Lishan, et al.
Publicado: (2019)

Mapping the Flowering of an Invasive Plant Using Unmanned Aerial Vehicles: Is There Potential for Biocontrol Monitoring?
por: de Sá, Nuno C., et al.
Publicado: (2018)

A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery
por: Huang, Huasheng, et al.
Publicado: (2018)

Estimation and mapping of soil texture content based on unmanned aerial vehicle hyperspectral imaging
por: Song, Qi, et al.
Publicado: (2023)

A Multi-Sensorial Simultaneous Localization and Mapping (SLAM) System for Low-Cost Micro Aerial Vehicles in GPS-Denied Environments
por: López, Elena, et al.
Publicado: (2017)

Vehicle Counting Based on Vehicle Detection and Tracking from Aerial Videos
por: Xiang, Xuezhi, et al.
Publicado: (2018)

Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks
por: Kumar, Kirshna, et al.
Publicado: (2020)

Automatic Extraction of Power Lines from Aerial Images of Unmanned Aerial Vehicles
por: Song, Jiang, et al.
Publicado: (2022)

Vision-Based Detection of Low-Emission Sources in Suburban Areas Using Unmanned Aerial Vehicles
por: Szczepański, Marek
Publicado: (2023)

Multispectral Detection of Commercial Unmanned Aerial Vehicles
por: Farlik, Jan, et al.
Publicado: (2019)

Bio-inspired computation in unmanned aerial vehicles
por: Duan, Haibin, et al.
Publicado: (2014)

Recent advances in research on unmanned aerial vehicles
por: Fahroo, Fariba, et al.
Publicado: (2013)

A Primer on Autonomous Aerial Vehicle Design
por: Coppejans, Hugo H. G., et al.
Publicado: (2015)

Reliability and Maintenance Analysis of Unmanned Aerial Vehicles †
por: Petritoli, Enrico, et al.
Publicado: (2018)

An Optimal Routing Algorithm for Unmanned Aerial Vehicles
por: Kim, Sooyeon, et al.
Publicado: (2021)

Robust design of a multirotor aerial vehicle
por: Dutta, Abhishek
Publicado: (2021)

Micro aerial vehicle with basic risk of operation
por: de Lucena, Alysson Nascimento, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_c2379ufd7f2s4h8opugcau864i